Food Environments Within and Outside of Schools Play a Critical Role in Curtailing the Rise in Obesity among School-Aged Children over Time.

BACKGROUND: Sound evidence for effective community-based strategies is needed to curtail upward trends in childhood obesity in the United States (US). OBJECTIVES: The aim of the study was to assess the association between school and community food environments and the prevalence of obesity over time. METHODS: Data were collected from K-12 schools in 4 low-income New Jersey cities in the US. School-level obesity prevalence, calculated from nurse-measured heights and weights at 4 time points, was used as the outcome variable. Data on the school food environment (SFE) measured the healthfulness of school lunch and competitive food offerings annually. The community food environment (CFE), i.e., the number of different types of food outlets within 400 m of schools, was also captured annually. The count and presence of food outlets likely to be frequented by students were calculated. Exposure to composite environment profiles both within schools and in communities around schools was assessed using latent class analysis. Data from 106 schools were analyzed using multilevel linear regression. RESULTS: The prevalence of obesity increased from 25% to 29% over the course of the study. Obesity rates were higher in schools that had nearby access to a greater number of limited-service restaurants and lower in schools with access to small grocery stores and upgraded convenience stores participating in initiatives to improve healthful offerings. Interaction analysis showed that schools that offered unhealthier, competitive foods experienced a faster increase in obesity rates over time. Examining composite food environment exposures, schools with unhealthy SFEs and high-density CFEs experienced a steeper time trend (ß = 0.018, P < 0.001) in obesity prevalence compared to schools exposed to healthy SFE and low-density CFEs. CONCLUSIONS: Food environments within and outside of schools are associated with differential obesity trajectories over time and can play an important role in curtailing the rising trends in childhood obesity.

The relationship between changes in neighborhood physical environment and changes in physical activity among children: a prospective cohort study.

BACKGROUND: Physical activity (PA) is associated with positive health outcomes over the entire life course. Many community-based interventions that promote PA focus on implementing incremental changes to existing facilities and infrastructure. The objective of this study was to determine if such upgrades were associated with increases in children's PA. METHODS: Two cohorts of 3- to 15-year-old children (n = 599) living in 4 low-income New Jersey cities were followed during 2- to 5-year periods from 2009 to 2017. Data on children's PA were collected at 2 time points (T1 and T2) from each cohort using telephone survey of parents; data on changes to existing PA facilities were collected yearly from 2009 to 2017 using Open Public Records Act requests, publicly available data sources, and interviews with key stakeholders. PA changes were categorized into six domains (PA facility, park, trail, complete street, sidewalk, or bike lane) and coded as new opportunity, renovated opportunity, or amenity. A scale variable capturing all street-related upgrades (complete street, sidewalk, and bike lane) was constructed. PA was measured as the number of days per week the child engaged in at least 60 min of PA. The association between change in PA between T1 and T2, ranging from - 7 to + 7, and changes to the PA environment was modeled using weighted linear regression controlling for PA at T1, child age, sex, race, as well as household and neighborhood demographic and socioeconomic characteristics. RESULTS: While most measures of the changes to the PA environment were not associated with change in PA between T1 and T2, the street-related upgrades were positively associated with the change in PA; specifically, for each additional standard deviation in street upgrades within a 1-mile radius of their homes, the change in PA was 0.42 (95% CI: 0.02, 0.82; p = 0.039) additional days. This corresponds to an 11% increase over the mean baseline value (3.8 days). CONCLUSIONS: The current study supports funding of projects aimed at improving streets and sidewalks in cities, as it was shown that incremental improvements to the PA environment near children's homes will likely result in increased PA among children.

Differential Associations Between Changes in Food Environment and Changes in BMI Among Adults Living in Urban, Low-Income Communities.

BACKGROUND: Food environments can contribute to excess weight gain among adults, but the evidence is mixed. OBJECTIVES: This longitudinal study investigated the associations between changes in the food environment and changes in BMI in adults and whether changes in the food environment differentially impact various subgroups. METHODS: At 2 time points, BMI was calculated using self-reported height and weight data from 517 adults (mean age, 41 years) living in 4 New Jersey cities. The counts of different types of food outlets within 0.4, 0.8, and 1.6 km of respondents' residences were collected at baseline and tracked until follow-up. A binary measure of social standing (social-advantage group, n = 219; social-disadvantage group, n = 298) was created through a latent class analysis using social, economic, and demographic variables. Multivariable linear regression modeled the associations between changes in BMI with measures of the food environment; additionally, interaction terms between the measures of food environment and social standing were examined. RESULTS: Overall, over 18 months, an increase in the number of small grocery stores within 0.4 km of a respondent's residence was associated with a decrease in BMI (ß = -1.0; 95% CI: -1.9, -0.1; P = 0.024), while an increase in the number of fast-food restaurants within 1.6 km was associated with an increase in BMI (ß = 0.1; 95% CI: 0.01, 0.2; P = 0.027). These overall findings, however, masked some group-specific associations. Interaction analyses suggested that associations between changes in the food environment and changes in BMI varied by social standing. For instance, the association between changes in fast-food restaurants and changes in BMI was only observed in the social-disadvantage group (ß = 0.1; 95% CI: 0.02, 0.2; P = 0.021). CONCLUSIONS: In a sample of adults living in New Jersey, changes in the food environment had differential effects on individuals' BMIs, based on their social standing.

Predicted Impact of the Food and Drug Administration's Menu-Labeling Regulations on Restaurants in 4 New Jersey Cities.

OBJECTIVES: To determine the proportion of restaurants that will be required to post calorie information under the Food and Drug Administration's menu-labeling regulations in 4 New Jersey cities. METHODS: We classified geocoded 2014 data on 1753 restaurant outlets in accordance with the Food and Drug Administration's guidelines, which will require restaurants with 20 or more locations nationwide to post calorie information. We used multivariate logistic regression analyses to assess the association between menu-labeling requirements and census tract characteristics. RESULTS: Only 17.6% of restaurants will be affected by menu labeling; restaurants in higher-income tracts have higher odds than do restaurants in lower-income tracts (odds ratio [OR] = 1.55; P = .02). Restaurants in non-Hispanic Black (OR = 1.62; P = .02) and mixed race/ethnicity (OR = 1.44; P = .05) tracts have higher odds than do restaurants in non-Hispanic White tracts of being affected. CONCLUSIONS: Additional strategies are needed to help consumers make healthy choices at restaurants not affected by the menu-labeling law. These findings have implications for designing implementation strategies for the law and for evaluating its impact.

The relative contribution of layers of the Social Ecological Model to childhood obesity.

OBJECTIVE: The Social Ecological Model (SEM) has been used to describe the aetiology of childhood obesity and to develop a framework for prevention. The current paper applies the SEM to data collected at multiple levels, representing different layers of the SEM, and examines the unique and relative contribution of each layer to children's weight status. DESIGN: Cross-sectional survey of randomly selected households with children living in low-income diverse communities. SETTING: A telephone survey conducted in 2009-2010 collected information on parental perceptions of their neighbourhoods, and household, parent and child demographic characteristics. Parents provided measured height and weight data for their children. Geocoded data were used to calculate proximity of a child's residence to food and physical activity outlets. SUBJECTS: Analysis based on 560 children whose parents participated in the survey and provided measured heights and weights. RESULTS: Multiple logistic regression models were estimated to determine the joint contribution of elements within each layer of the SEM as well as the relative contribution of each layer. Layers of the SEM representing parental perceptions of their neighbourhoods, parent demographics and neighbourhood characteristics made the strongest contributions to predicting whether a child was overweight or obese. Layers of the SEM representing food and physical activity environments made smaller, but still significant, contributions to predicting children's weight status. CONCLUSIONS: The approach used herein supports using the SEM for predicting child weight status and uncovers some of the most promising domains and strategies for childhood obesity prevention that can be used for designing interventions.

Active commuting to school: A longitudinal analysis examining persistence of behavior over time in four New Jersey cities.

Evidence suggests that healthy behaviors initiated during childhood may continue over time. The objective of this study was to determine whether active commuting to/from school (ACS) at baseline predicted continued ACS at follow-up two to five years later. Two cohorts of households with 3-15 year-olds in four low-income New Jersey cities were randomly sampled and followed for two to five year periods between 2009 and 2017. Children who walked, bicycled, or skateboarded to/from school at least one day/week were classified as active commuters. Children with complete data at both time points were included in this analysis (n = 383). Multivariate logistic regression was used to examine the association between ACS at T1 and T2. Models adjusted for child age, sex, and race/ethnicity; parent's education and nativity status (native-born vs foreign-born); household poverty level; car availability; neighborhood level characteristics; and distance from home to school. Children who engaged in ACS at T1 had over seven times the odds of ACS at T2 compared to children who did not actively commute at T1 (p < 0.001), after adjusting for distance to school and other relevant covariates. Distance, regardless of active commuting status at T1 was inversely associated with active commuting at T2. Policies and interventions encouraging ACS, and those that decrease the distance between a child's home and school, may result in increased, habitual active commuting and physical activity behavior throughout childhood and possibly into adulthood.

SNAP participation among low-income US households stays stagnant while food insecurity escalates in the months following the COVID-19 pandemic.

The COVID-19 pandemic led to increased food-insecurity rates, particularly among low-income households. Participation in the Supplemental Nutrition Assistance Program (SNAP) was expected to rise in response. We surveyed 931 US residents from households with annual incomes below $50,000 to collect information on food security and food assistance program participation in the year prior to the pandemic and in the first four months of the pandemic, along with household and individual-level demographics. Food insecurity increased from 31% prior to the pandemic to 39% in the first four months of the pandemic, while self-reported SNAP participation stagnated. Even more alarmingly, among low-income households that were also food-insecure, 47% reported participating in SNAP prior to the pandemic but only 39% did so in the first four months following the pandemic's onset. In particular, Black households, households with children, and those in the lowest income category experienced the largest declines in SNAP participation. Food assistance programs designed to alleviate hunger should facilitate participation among the most vulnerable, especially when these groups are faced with multiple challenges, like during the COVID-19 pandemic.

Evidence That Changes in Community Food Environments Lead to Changes in Children's Weight: Results from a Longitudinal Prospective Cohort Study.

BACKGROUND: Strategies to improve the community food environment have been recommended for addressing childhood obesity, but evidence substantiating their effectiveness is limited. OBJECTIVE: Our aim was to examine the impact of changes in availability of key features of the community food environment, such as supermarkets, small grocery stores, convenience stores, upgraded convenience stores, pharmacies, and limited service restaurants, on changes in children's body mass index z scores (zBMIs). DESIGN: We conducted a longitudinal cohort study. PARTICIPANTS/SETTING: Two cohorts of 3- to 15-year-old children living in 4 low-income New Jersey cities were followed during 2- to 5-year periods from 2009 through 2017. Data on weight status were collected at 2 time points (T1 and T2) from each cohort; data on food outlets in the 4 cities and within a 1-mile buffer around each city were collected multiple times between T1 and T2. MAIN OUTCOME MEASURES: We measured change in children's zBMIs between T1 and T2. STATISTICAL ANALYSIS: Changes in the food environment were conceptualized as exposure to changes in counts of food outlets across varying proximities (0.25 mile, 0.5 mile, and 1.0 mile) around a child's home, over different lengths of time a child was exposed to these changes before T2 (12 months, 18 months, and 24 months). Multivariate models examined patterns in relationships between changes in zBMI and changes in the food environment. RESULTS: Increased zBMIs were observed in children with greater exposure to convenience stores over time, with a consistent pattern of significant associations across varying proximities and lengths of exposure. For example, exposure to an additional convenience store over 24 months within 1 mile of a child's home resulted in 11.7% higher odds (P = 0.007) of a child being in a higher zBMI change category at T2. Lower zBMIs were observed in children with increased exposure to small grocery stores selling an array of healthy items, with exposure to an additional small grocery store within 1 mile over 24 months, resulting in 37.3% lower odds (P < 0.05) of being in a higher zBMI change category at T2. No consistent patterns were observed for changes in exposure to supermarkets, limited service restaurants, or pharmacies. CONCLUSIONS: Increased availability of small grocery stores near children's homes may improve children's weight status, whereas increased availability of convenience stores is likely to be detrimental.

Children's Consumption Patterns and Their Parent's Perception of a Healthy Diet.

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.

Qualitative Research in Phoenix, AZ, Exploring Support for Public-Private Partnerships to Expand the Reach of the Fresh Fruit and Vegetable Program.

BACKGROUND: Fruit and vegetable (F/V) consumption among school-aged children falls short of current recommendations. The development of public-private partnerships (PPPs) has been suggested as an effective approach to address a number of public health concerns, including inadequate F/V consumption. The US Department of Agriculture's Fresh Fruit and Vegetable Program (FFVP) provides F/V as snacks at least twice per week in low-income elementary schools. In addition to increasing F/V consumption behaviors at school, children participating in the FFVP make more requests for F/V in grocery stores and at home, suggesting the impact of the program extends beyond school settings. OBJECTIVE: This study explored the potential for establishing successful PPPs between schools and food retailers to promote the sales of F/V in low-income communities. DESIGN: Semi-structured interviews and focus groups were conducted with participants from 4 groups of stakeholders. PARTICIPANTS/SETTING: Grocery store and produce managers from 10 grocery stores, FFVP personnel from 5 school districts and 12 schools, and parents of children attending 3 different FFVP-participating schools, all in the Phoenix, AZ, metropolitan area participated in interviews and focus groups. STATISTICAL ANALYSES PERFORMED: Data were analyzed using a directed content analysis approach to examine benefits, barriers, and strategies for developing a PPP. RESULTS: Key perceived benefits of creating a PPP included the potential to increase store sales, to enhance public relations with the community, and to extend the impact of the FFVP to settings outside of schools. Barriers included offering expensive produce through the FFVP and the potential lack of communication among partners. Strategies for developing a PPP included using seasonal produce and having clear instructions for teachers and staff. Parents reported their children requesting more F/V as a result of FFVP participation. CONCLUSIONS: Stakeholders support forming PPPs. Partnerships between FFVP schools and retailers can be mutually beneficial and have a positive impact on children and their families.

The Special Supplemental Nutrition Program for Women, Infants, and Children Spillover Effect: Do Siblings Reap the Benefits?

BACKGROUND: 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. OBJECTIVE: Examine the association between household WIC participation and dietary behaviors of age-ineligible children. DESIGN: 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. PARTICIPANTS/SETTING: 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. MAIN OUTCOME MEASURES: Eating behaviors were measured as frequency of daily consumption of fruit, vegetables, 100% juice, sugar-sweetened beverages, and sweet and salty snacks. STATISTICAL ANALYSIS: 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). RESULTS: 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). CONCLUSIONS: 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.

School Food and Physical Activity Environment: A Longitudinal Analysis of Four School Districts in New Jersey.

PURPOSE: Exposures to favorable environments in childhood, including those in schools, are associated with healthy habits among children. In this study, we developed a series of indices aimed at measuring students' exposure to different dimensions of the school food and physical activity (PA) environment. We implemented these indices to investigate how different aspects of the school food and PA environment changed over time and examined their correspondence with known changes in relevant policies and programs. METHODS: All public schools (n= 141) in four school districts in New Jersey provided detailed food and PA environment data for each school year from 2010-2011 to 2015-2016. Seven food environment indices, three PA environment indices, and two additional indices that capture health-promoting initiatives at the school level and at the state or federal level were developed. RESULTS: Although the school PA environment largely remained unchanged, several dimensions of the school food environment changed between 2010-2011 and 2015-2016. Overall, the number of healthy items increased over time in vending machines (p < .001), a la carte (p < .05), or through reimbursable school lunches (p < .001); decreases in number of unhealthy items were only detected in school lunches (p < .05). For most food indices, both the number of items offered and the trend over time varied across school levels. CONCLUSIONS: Schools are a key venue for implementing policy and environment interventions aimed to promote healthy behaviors. Indices developed from easy-to-use survey questions captured multiple dimensions of the school food and PA environments and were sensitive to policy changes over time.

Healthy Food Access in Low-Income High-Minority Communities: A Longitudinal Assessment-2009-2017.

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.

Patterns of food and physical activity environments related to children's food and activity behaviors: A latent class analysis.

Relationships between food and physical activity (PA) environments and children's related behaviors are complex. Latent class analyses derived patterns from proximity to healthy and unhealthy food outlets, PA facilities and parks, and counts of residential dwellings and intersections. Regression analyses examined whether derived classes were related to food consumption, PA, and overweight among 404 low-income children. Compared to children living in Low PA-Low Food environments, children in High Intersection&Parks-Moderate Density&Food, and High Density-Low Parks-High Food environments, had significantly greater sugar-sweetened beverage consumption (ps<0.01) and overweight/obesity (ps<0.001). Children in the High Density-Low Parks-High Food environments were more likely to walk to destinations (p = 0.01) Recognizing and leveraging beneficial aspects of neighborhood patterns may be more effective at positively influencing children's eating and PA behaviors compared to isolating individual aspects of the built environment.

Examining the Feasibility of Healthy Minimum Stocking Standards for Small Food Stores.

OBJECTIVE: In response to recent national efforts to increase the availability of healthy food in small stores, we sought to understand the extent to which small food stores could implement the newly published Healthy Small Store Minimum Stocking Recommendations and reflect on the new US Department of Agriculture Food and Nutrition Service's final rule for stocking of staple foods for Supplemental Nutrition Assistance Program-approved retailers. DESIGN: We collected qualitative and quantitative data from 57 small stores in four states (Arizona, Delaware, Minnesota, and North Carolina) that accepted Supplemental Nutrition Assistance Program but not Special Supplemental Nutrition Assistance Program for Women, Infants, and Children benefits. Data from semistructured, in-depth interviews with managers/owners were transcribed, coded, and analyzed. We collected quantitative store inventory data onsite and later performed descriptive analyses. RESULTS: Store interviews revealed a reluctant willingness to stock healthy food and meet new recommendations. No stores met recommended fruit and vegetable stocking, although 79% carried at least one qualifying fruit and 74% carried at least one qualifying vegetable. Few stores met requirements for other food categories (ie, whole grains and low-fat dairy) with the exception of lean proteins, where stores carrying nuts or nut butter were more likely to meet the protein recommendation. Water and 100% juice were widely available and 68% met basic healthy beverage criteria. CONCLUSIONS: In contrast to the inventory observed, most owners believed store stock met basic recommendations. Further, findings indicate that small stores are capable of stocking healthy products; however, technical and infrastructure support, as well as incentives, would facilitate shifts from staple to healthier staple foods. Retailers may need support to understand healthier product criteria and to drive consumer demand for new products.

Short-Form Audit Instrument for Assessing Corner Store Healthfulness.

PURPOSE: To develop a valid and feasible short-form corner store audit tool (SCAT) that could be used in-store or over the phone to capture the healthfulness of corner stores. DESIGN: Nonexperimental. SETTING: Four New Jersey cities. SUBJECTS: Random selection of 229 and 96 corner stores in rounds 1 and 2, respectively. MEASURES: An adapted version of the Nutrition Environment Measures Survey for Corner Stores (NEMS-CS) was used to conduct in-store audits. The 7-item SCAT was developed and used for round 2 phone audits. ANALYSIS: Exploratory factor analysis and item response theory were used to develop the SCAT. RESULTS: The SCAT was highly correlated with the adapted NEMS-CS ( r = .79). Short-form corner store audit tool scores placed stores in the same healthfulness categories as did the adapted NEMS-CS in 88% of the cases. Phone response matches indicated that store owners did not distinguish between 2% and low-fat milk and tended to round up the fruit and vegetable count to 5 if they had fewer varieties. CONCLUSION: The SCAT discriminates between higher versus lower healthfulness scores of corner stores and is feasible for use as a phone audit tool.

Cost of Children's Healthy vs Unhealthy Snacks Does Not Differ at Convenience Stores.

OBJECTIVE: This study compared the prices of unhealthy (chips) and healthy (ready-to-eat fruit) snacks that students are likely to purchase from corner stores. METHODS: Snacks were purchased from 325 New Jersey corner stores; chip prices were compared with fruit prices overall and by store sales volume and block group characteristics. RESULTS: Prices did not differ significantly between chips and fruit in the overall sample in which both items were available (n = 104) (chips: $0.46 ± $0.15; fruit: $0.49 ± $0.19; P = .48) or by store or block group characteristics. Neither mean fruit prices nor mean chip prices differed by store sales volume or by neighborhood characteristics. CONCLUSIONS AND IMPLICATIONS: Promoting ready-to-eat fruits in corner stores to children as a price-neutral alternative to calorically dense snacks can be a viable strategy to improve the nutritional quality of snacks commonly purchased at corner stores.

Healthy store programs and the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC), but not the Supplemental Nutrition Assistance Program (SNAP), are associated with corner store healthfulness.

In response to lack of access to healthy foods, many low-income communities are instituting local healthy corner store programs. Some stores also participate in the United States Department of Agriculture's Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) and the Supplemental Nutrition Assistance Program (SNAP). This study used two assessment tools to compare the healthfulness of offerings at stores participating in local healthy store programs (upgraded stores), WIC, and/or SNAP to that of similar non-participating stores. Based on store audits conducted in 315 New Jersey corner stores in 2014, we calculated healthy food availability scores using subsections of the Nutrition Environment Measures Survey for Corner Stores (NEMS-CS-Availability) and a short-form corner store audit tool (SCAT). We used multivariable regression to examine associations between program participation and scores on both instruments. Adjusting for store and block group characteristics, stores participating in a local healthy store program had significantly higher SCAT scores than did non-participating stores (upgraded: M = 3.18, 95% CI 2.65-3.71; non-upgraded: M = 2.52, 95% CI 2.32-2.73); scores on the NEMS-CS-Availability did not differ (upgraded: M = 12.8, 95% CI 11.6-14.1; non-upgraded: M = 12.5, 95% CI 12.0-13.0). WIC-participating stores had significantly higher scores compared to non-participating stores on both tools. Stores participating in SNAP only (and not in WIC) scored significantly lower on both instruments compared to non-SNAP stores. WIC-participating and non-SNAP corner stores had higher healthfulness scores on both assessment tools. Upgraded stores had higher healthfulness scores compared to non-upgraded stores on the SCAT.

Neighborhood perceptions and active school commuting in low-income cities.

BACKGROUND: Few children accumulate the recommended ≥60 minutes of physical activity each day. Active travel to and from school (ATS) is a potential source of increased activity for children, accounting for 22% of total trips and time spent traveling by school-aged children. PURPOSE: This study identifies the association of parents' perceptions of the neighborhood, geospatial variables, and demographic characteristics with ATS among students in four low-income, densely populated urban communities with predominantly minority populations. METHODS: Data were collected in 2009-2010 from households with school-attending children in four low-income New Jersey cities. Multivariate logistic regression analyses (n=765) identified predictors of ATS. Analyses were conducted in 2012. RESULTS: In all, 54% of students actively commuted to school. Students whose parents perceived the neighborhood as very unpleasant for activity were less likely (OR=0.39) to actively commute, as were students living farther from school, with a 6% reduction in ATS for every 0.10 mile increase in distance to school. Perceptions of crime, traffic, and sidewalk conditions were not predictors of ATS. CONCLUSIONS: Parents' perceptions of the pleasantness of the neighborhood, independent of the effects of distance from school, may outweigh concerns about crime, traffic, or conditions of sidewalks in predicting active commuting to school in the low-income urban communities studied. Efforts such as cleaning up graffiti, taking care of abandoned buildings, and providing shade trees to improve neighborhood environments are likely to increase ATS, as are efforts that encourage locating schools closer to the populations they serve.