Literature review: Benefits of healthy school meals for all
- Author (aut): Martinelli, Sarah
- Author (aut): Acciai, Francesco
- Author (aut): Melnick, Emily
- Author (aut): Ohri-Vachaspati, Punam
We surveyed a diverse group of Arizona residents, including over 2,300 parents of school-age children and nearly 1,300 members of the school community, consisting of teachers, lunchroom staff, school administrators, and other school employees. Respondents represented a wide range of racial, economic, educational, and political backgrounds. A more detailed report of methods and results will be shared on the Arizona Food Bank Network’s website in January 2023.
We surveyed a diverse group of Arizona residents, including over 2,300 parents of school-age children and nearly 1,300 members of the school community, consisting of teachers, lunchroom staff, school administrators, and other school employees. Respondents represented a wide range of racial, economic, educational, and political backgrounds. A more detailed report of methods and results will be shared on the Arizona Food Bank Network’s website in January 2023.
As of May 2022, there have been more than 80 million confirmed cases of COVID-19 across the United States, and over two million cases in Arizona. The pandemic has had a devastating impact on local, national, and global economies. This brief features the findings from data collected from a survey administered to Arizona residents in April of 2021, as well as national statistics, to understand some of the economic consequences of COVID-19 and its impacts on Arizona households.
Participation in the Special Supplemental Nutrition Assistance Program for Women, Infants, and Children (WIC) among 0- to 5-year-old children is associated with healthier diets. Extension of dietary benefits to older, age-ineligible children (5-18 years old) residing in WIC households has not been fully investigated.
Examine the association between household WIC participation and dietary behaviors of age-ineligible children.
Cross-sectional secondary analysis of data collected from 2 independent panels (2009-2010 and 2014) of the New Jersey Child Health Study, using household surveys. Questions derived from national surveys assessed consumption frequency of specific foods among 5- to 18-year-old children.
The analytic sample included 616 age-ineligible children from households with incomes below 200% of the federal poverty level, 398 of whom were from WIC-participating households.
Eating behaviors were measured as frequency of daily consumption of fruit, vegetables, 100% juice, sugar-sweetened beverages, and sweet and salty snacks.
Multivariable negative binomial models examined the association between eating behaviors and household WIC participation status adjusting for child’s age, sex, and race; mother’s education; city of residence; household size; and panel. Results are expressed as incidence rate ratios (IRRs).
Household WIC participation was not associated with dietary behaviors among age-ineligible children (5-18 years old) in the overall sample. However, healthier dietary patterns were observed for specific demographic groups. Compared with age-ineligible children in non-WIC households, age-ineligible children in WIC households had (1) a higher frequency of vegetable consumption among 12- to 18-year-old children (IRR = 1.29; 95% confidence interval [CI] 1.05-1.58; P = .015); (2) a marginally significant higher frequency of 100% juice consumption among females (IRR = 1.27; 95% CI 1.00-1.62; P = .053); and (3) a lower frequency of sugar-sweetened beverages consumption among Hispanic children (IRR = 0.61; 95% CI 0.43-0.86; P = .004).
Household WIC participation may positively influence dietary behaviors of age-ineligible children, suggesting a possible WIC spillover effect. Revisions to WIC package composition should consider the possible dietary implications for all children in the household.
Disparities in healthy food access are well documented in cross-sectional studies in communities across the United States. However, longitudinal studies examining changes in food environments within various neighborhood contexts are scarce. In a sample of 142 census tracts in four low-income, high-minority cities in New Jersey, United States, we examined the availability of different types of food stores by census tract characteristics over time (2009–2017). Outlets were classified as supermarkets, small grocery stores, convenience stores, and pharmacies using multiple sources of data and a rigorous protocol. Census tracts were categorized by median household income and race/ethnicity of the population each year. Significant declines were observed in convenience store prevalence in lower- and medium-income and majority black tracts (p for trend: 0.004, 0.031, and 0.006 respectively), while a slight increase was observed in the prevalence of supermarkets in medium-income tracts (p for trend: 0.059). The decline in prevalence of convenience stores in lower-income and minority neighborhoods is likely attributable to declining incomes in these already poor communities. Compared to non-Hispanic neighborhoods, Hispanic communities had a higher prevalence of small groceries and convenience stores. This higher prevalence of smaller stores, coupled with shopping practices of Hispanic consumers, suggests that efforts to upgrade smaller stores in Hispanic communities may be more sustainable.
This study aims to examine children’s fruit, vegetable, and added sugar consumption relative to the Dietary Guidelines for Americans and the American Heart Association’s recommendations, as well as to compare children’s reported consumption with parental perception of the child’s overall diet quality. Data were drawn from 2 independent, cross sectional panels (2009–10 and 2014–15) of the New Jersey Child Health Study. The analytical sample included 2229 households located in five New Jersey cities. Daily consumption of fruit (cups), vegetables (cups), and added sugars (teaspoons) for all children (3–18 years old) were based on parent reports. Multivariate linear regression analyses estimated children’s adjusted fruit, vegetable, and added sugar consumption across parents’ perception categories (Disagree; Somewhat Agree; and Strongly Agree that their child eats healthy). Although only a small proportion of children meet recommendations, the majority of parents strongly agreed that their child ate healthy. Nonetheless, significant differences, in the expected direction, were observed in vegetable and fruit consumption (but not sugar) across parental perceptional categories for most age/sex groups. Dietary interventions tailored to parents should include specific quantity and serving-size information for fruit and vegetable recommendations, based on their child’s age/sex, and highlight sources of added sugar and their sugar content.
School food and physical activity (PA) environments can influence children’s dietary and physical activity behaviors. However, evidence on whether school environment is associated with students’ weight status is less definitive. In this study, we examined the association between students’ body mass index (BMI) and measures of school food and PA environments. We calculated BMI from nurse-measured data collected on 19,188 6–19-year-old students from 90 public schools in four low-income cities in New Jersey in 2015–2016. Based on a questionnaire administered to school nurses, we constructed 6 food and 3 PA indices capturing the healthfulness of key dimensions in the school food and PA environment domains. Multilevel linear models, stratified by school level (elementary and secondary), examined the association between BMI z-scores and indices of the school environment. The food and PA domains were modeled separately and then combined. Joint significance of indices within each domain was tested. Analyses were conducted in 2019–2020. In the combined model for elementary schools, indices in both the food and PA domains were jointly significant (p = 0.005 and p < 0.001, respectively). With regard to specific indices in the model, students’ BMI z-score was 0.03 units lower for each additional outdoor PA facility (95% CI [−0.06, −0.00]; p = 0.036). Similarly, for secondary schools, both the food and PA domains were jointly significant (p = 0.004 and p = 0.020, respectively). Each additional unhealthy item in vending machines was associated with a 0.12 unit increase in BMI z-score (95% CI [+0.00, 0.23]; p = 0.042). Overall, healthier food and PA environments were associated with lower student BMI.
Beginning in March 2020, the COVID-19 pandemic triggered a sudden and severe economic downturn and led to disruptions in domestic and international food systems and supply chains. Over the first few months of the pandemic, in the United States, many stores had empty shelves, bars and restaurants closed, and children could no longer go to school. The unemployment rate increased from 3.5% in February 2020 to 14.8% in April 2020, leading to economic instability for many households. As a result, household food insecurity, defined as having limited or inconsistent access to nutritious and affordable food, increased rapidly.
During the first months of 2021, vaccinations began rolling out, more individuals returned to in-person work, children to schools, and restrictions were gradually phased out. Unemployment has decreased since the April 2020 peak to 5.4% in July 2021, but remains above pre-pandemic levels. This brief describes the prevalence of household food insecurity, job disruptions, and food-related behaviors as reported by a nationally representative sample of 1,643 U.S. adults, both in the year prior to the COVID-19 pandemic (March 2019 – March 2020) and during the first four months of 2021 (January – April 2021), a period representing approximately one year since the onset of the pandemic.
The onset of the COVID-19 pandemic in March 2020 and the resulting closures of schools, businesses, and restaurants led to a massive economic disruption in Arizona. The unemployment rate at its peak reached 14.2% (April 2020) - a level even higher than during the great recession of 2008. High unemployment rates, coupled with a breakdown of local and national food supply chains, led to a remarkable increase in food insecurity rates among Arizona households. More than a year later, as vaccines became widely available and restrictions were lifted, schools and business began to reopen, and most activities slowly returned to pre-pandemic standards. The effects of the pandemic on food insecurity and food-related behaviors, however, might have long-lasting effects. This brief describes levels of food insecurity, food assistance program participation, job disruption, and food related behaviors among 814 households in Arizona, in the 12 months preceding the pandemic (March 2019 – March 2020) and approximately one year after the onset of the COVID-19 pandemic ( January 2021 –April 2021). Data collection took place between April and May 2021.