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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.
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.
Background: Understanding determinants of high consumption of sugar-sweetened beverages (SSBs), a highly prevalent obesogenic behavior, will help build effective customized public health interventions.
Objective: Our aim was to identify child and parent lifestyle and household demographic factors predictive of high SSB consumption frequency in children from low-income, ethnically diverse communities that may help inform public health interventions.
Design: We used a cross-sectional telephone household survey.
Participants/setting: Participants were 717 boys and 686 girls aged 3 to 18 years old from the New Jersey Childhood Obesity Study living in five low-income cities (Camden, New Brunswick, Newark, Trenton, and Vineland). The adult most knowledgeable about household food shopping completed a questionnaire over the telephone inquiring about their and their child's dietary and physical activity habits, and household-, parent-, and child-level demographics.
Main outcome measures: Child's SSB consumption frequency was measured.
Statistical analysis performed: Multivariate ordered logit models were designed to investigate a variety of variables hypothesized to affect the frequency of SSB consumption. Exploratory stratified analyses by race, sex, and age were also conducted.
Results: Eight percent of our study participants never consumed SSBs, 45% consumed SSBs at least once per day, and 23% consumed twice or more per day. SSB consumption was higher among children 12 to 18 years vs 3 to 5 years (P<0.0001), of non-Hispanic black vs non-Hispanic white race/ethnicity (P=0.010), who were moderate fast food consumers vs never consumers (P=0.003), and those whose parents were high vs low SSB consumers (P<0.0001). Living in a non-English-speaking household (P=0.030), having a parent with a college or higher education vs less than high school (P=0.003), and having breakfast 6 to 7 days/wk vs never to 2 days/wk or less were associated with lower SSB consumption (P=0.001).
Conclusions: We identified a number of household-, parent-, and child-level predictors of SSB consumption, which varied by race, sex, and age, useful for building customized interventions targeting certain behaviors in ethnically diverse, low-income children.
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.
The U.S. Preventive Task Force recommends that all patients be screened for obesity and given appropriate weight loss advice, if needed, as nutrition counseling by primary care physicians is a key objective for Healthy People 2020. This study assesses the association between health care provider's (HCP) advice to lose weight and eating behaviors among obese individuals. Data were collected using a household survey of adults in five New Jersey cities in 2009–10. Analyses presented are limited to 548 obese participants. Negative-binomial regression analysis determined the association of participants' eating behaviors and HCP's advice to lose weight, after adjusting for the participant's attempt to lose weight and demographic variables. Despite being obese, only 48% of the participants received weight loss advice from their HCP while 68% stated they were attempting to lose weight. HCP's advice to lose weight was associated with increased salad and fruit consumption (PR 1.3, 95% CI 1.06-1.61; PR 1.23, 95% CI 1.02-1.48). Attempting to lose weight was positively associated with a higher consumption of fruit (PR 1.39, 95% CI 1.13-1.72), vegetables (PR 1.22, 95% CI 1.07-1.39), and with eating fruits and vegetables as snacks (PR 1.62, 95% CI 1.28-2.05). Attempting to lose weight was negatively associated with consumption of sweet snacks (PR 0.68, 95% CI 0.49-0.94), sugar sweetened beverages (PR 0.71, 95% CI 0.58-0.87) and fast food (PR 0.77, 95% CI 0.62-0.97). There were no significant interactions between HCP's advice and attempts to lose weight. Obese adult's attempt to lose weight, and not HCP's advice to lose weight, was a predictor for healthy eating behaviors. Interventions in medical practices should train HCPs on effective strategies for motivating obese patients to adopt healthier lifestyles.
Background: Active commuting to school (ACS) increases students' daily physical activity, but associations between student weight and ACS are inconsistent. Few studies examining ACS and weight account for distance commuted. This study examines the association between students' weight status and ACS, taking into account distance to school.
Methods: In 2009-10 a random digit-dial household survey conducted in low-income minority cities collected information about ACS for 1 randomly selected school-going student per household. Parents provided measured heights and weights. Distance commuted was obtained using geocoded home and school addresses. Multivariate regression analyses assessed associations of ACS and distance commuted with weight status.
Results: 36.6% of students were overweight/obese; 47.2% engaged in ACS. Distance walked/biked to school was associated with 7% lower odds of overweight/obesity (OR = 0.93, 95% CI: 0.88- 0.99). Without distance commuted in the model, ACS was not associated with students' weight status. Compared with no ACS, ACS greater than a half-mile was associated with 65% lower odds of a student being overweight/obese (OR = 0.35, 95% CI: 0.16- 0.78); ACS less than a half-mile was not.
Conclusions: ACS is significantly inversely associated with overweight/obesity among students who commute beyond a one-half mile threshold.
Little evidence exists examining if parental nativity, neighborhood disadvantage and built environment features are associated with physical activity behaviors in Latino youth. We used a representative sample of Latino youth (n = 616) living in New Jersey to examine parental nativity associations with active transport to school, active use of sidewalks, use of local neighborhood parks, and use of neighborhood physical activity facilities. We estimated prevalence ratios (PR) that accounted for the complex survey design. Latino youth with foreign-born parents were generally more active than their US-born peers, and those with parents in the US 10 years or less were more likely to engage in active transport to school (PR = 1.51, 95 % CI 1.04–2.21), after adjusting for census-based neighborhood disadvantage, self-reported neighborhood measures, and geocoded distance to school. Parental nativity status should be considered in policies or interventions designed to increase physical activity among Latino youth.
This study explores the association between parental perception of the nutritional quality of school meals and whether students eat lunch served at school. We use data from five low-income cities in New Jersey that have high minority populations. Students whose parents perceive the quality of school meals to be healthy have greater odds of eating meals served at school. Recent changes in guidelines for the United States Department of Agriculture's National School Lunch Program met with resistance from several fronts. Advocates for and implementers of improved school meals may benefit from partnering with parents to increase the acceptance and utilization of improved school offerings.
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.
Objectives: Conflicting findings on associations between food and physical activity (PA) environments and children's weight status demand attention in order to inform effective interventions. We assess relationships between the food and PA environments in inner-city neighborhoods and children's weight status and address sources of conflicting results of prior research.
Methods: Weight status of children ages 3-18 was assessed using parent-measured heights and weights. Data were collected from 702 children living in four low-income cities in New Jersey between 2009 and 2010. Proximity of a child's residence to a variety of food and PA outlets was measured in multiple ways using geo-coded data. Multivariate analyses assessed the association between measures of proximity and weight status.
Results: Significant associations were observed between children's weight status and proximity to convenience stores in the 1/4 mile radius (OR = 1.9) and with presence of a large park in the 1/2 mile radius (OR = 0.41). No associations were observed for other types of food and PA outlets.
Conclusions: Specific aspects of the food and PA environments are predictors of overweight and obese status among children, but the relationships and their detection are dependent upon aspects of the geospatial landscape of each community.