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Abstract 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.

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.

Objectives: To evaluate National School Lunch Program (NSLP) and School Breakfast Program (SBP) participation over a 7-year period before and after the implementation of the 2010 Healthy, Hunger-Free Kids Act (HHFKA), which required healthier school lunch options beginning in school year (SY) 2012-2013 and healthier school breakfast options beginning in SY2013-2014., Methods: Data were gathered from low-income, high-minority public schools in 4 New Jersey cities. We conducted longitudinal analyses of annual average daily participation (ADP) in school meals among enrolled students overall and among those eligible for free or reduced-price meals. We used linear mixed models to compare NSLP and SBP participation rates from SY2008-2009 to SY2014-2015., Results: NSLP participation rates among students overall differed little across years (from 70% to 72%). SBP rates among enrolled students were stable from the beginning of the study period to SY2013-2014 and then increased from 52% to 59%. Among students eligible for free or reduced-price meals, the ADP was lowest in SY2012-2013 (when the HHFKA was implemented) before rebounding., Conclusions: The HHFKA did not have a negative impact on school meal participation over time. Public Health Implications. The HHFKA-strengthened nutrition standards have not affected school meal participation rates. With time, students are likely to accept healthier options.