ASU Food Policy and Environment Research Group

The maps in this chartbook describe the physical activity environment in Trenton in terms of geographic distribution of parks and physical activity facilities. Research shows that people who have access to these facilities are more likely to be physically active.

• The maps in this chartbook were created using physical activity facilities data from a commercial database (lnfoUSA, 2008), data from city departments, as well as information obtained from systematic web searches. The maps present data for the city of Trenton and for a 1 mile buffer area around Trenton.

• Physical activity centers include private and public facilities which offer physical activity opportunities for children 3-18 years of age.

• Physical activity environment maps are compared with Census 2000 data to visualize accessibility of physical activity opportunities in neighborhoods with different characteristics.

• Poverty level presented in this chartbook are based on the 2000 Federal Poverty Guidelines.

• Crime rates in Trenton are presented at the census block group level as relative crime risk (CrimeRisk) obtained from a commercial data source (Applied Geographic Solutions, 2008). CrimeRisk - an index value derived from modeling the relationship between crime rates and demographics data - is expressed as the risk of crime occurring in a specific block group relative to the national average. For this chartbook, data on total CrimeRisk, which includes personal and property crimes, are reported.

Many factors influence children’s health behaviors and health outcomes. The Social Ecological Model (SEM) groups these factors into interactive layers, creating a framework for understanding their influence and for designing interventions to achieve positive change. The layers of influence in the SEM include individual, interpersonal, organizational, community, and policy factors (see figure). The New Jersey Child Health Study (NJCHS) was designed to examine how specific layers of the SEM, particularly food and physical activity environments in schools and communities, affect obesity outcomes in children

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.

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 tables and graphs in this chartbook were created using data collected by Camden Public Schools for the school year 2008-2009. Rutgers Center for State Health Policy obtained de-identified data from the schools and computed a BMI score and a BMI percentile (BMIPCT) for each child. Weight status is defined using the following BMIPCT categories.

BMIPCT

BMIPCT < 85

BMIPCT ~ 85

BMIPCT ~ 95

BMIPCT ~ 97

Weight Status

Not Overweight or Obese

Overweight and Obese

Obese

Very Obese

BMIPCT categories are presented at the city level and in sub-group analysis by age, gender, and race. Aggregate data are also presented at the school level, with notation, where representativeness of the data was a concern.

Tables and graphs on pages 5, 7, 9, and 11 show comparisons with national estimates (National Health and Nutrition Examination Survey, 2007-2008). The national data are representative of all 2-19 year old children in the US.

Each graph and table is accompanied by brief summary statements. Readers are encouraged to review the actual data presented in tables and graphs as there is much more detail.