Contact with the justice system can lead to a range of poor health and social outcomes. While persons of color are disproportionately represented in both the juvenile and criminal justice systems, reasons for these patters remain unclear. This study sought to examine the extent and sources of differences in arrests during adolescence and young adulthood among blacks, whites, and Hispanics in the USA. Multilevel cross-sectional logistic regression analyses were conducted using data from waves I and IV of the National Longitudinal Study of Adolescent to Adult Health (n = 12,752 respondents). Results showed significantly higher likelihood of having ever been arrested among blacks, when compared to whites, even after controlling for a range of delinquent behaviors (odds ratio = 1.58, 95 % confidence interval = 1.27, 1.95). These black–white disparities were no longer present after accounting for racial composition of the neighborhood, supporting the growing body of research demonstrating the importance of contextual variables in driving disproportionate minority contact with the justice system.

Objective: Policies affecting the determinants of health lie largely outside the control of the health care and public health sectors. Ensuring health considerations in the formation and implementation of policies, programs, projects, and plans from all sectors, though lofty, is the overall aim of Health in All Policies. The purpose of this article was to identify categories of strategies that illustrate how Health in All Policies had been implemented in the United States. Design: We used a 3-phased process: (1) review of the published and gray literature; (2) analysis of case examples to identify a draft framework, which included tactics and strategies for implementing Health in All Policies; and (3) vetting the draft framework through individual and group consultation. Results: We identify 7 interrelated strategies for incorporating health considerations into decisions and systems: (1) developing and structuring cross-sector relationships; (2) incorporating health into decision-making processes; (3) enhancing workforce capacity; (4) coordinating funding and investments; (5) integrating research, evaluation and data systems; (6) synchronizing communications and messaging; and (7) implementing accountability structures. For each strategy, we provide illustrative examples from the United States to help public health leaders identify effective tactics for Health in All Policies implementation. Conclusions: Through our review, we offer a starting point for categorizing and describing the emerging practices used to work across sectors and address the determinants of health. By delineating the different types of strategies and tactics to achieve Health in All Policies, we provide public health practitioners with a “menu” of options for incorporating Health in All Policies into their work.

Although consumption of sugar-sweetened beverages (SSBs) is associated with many negative health outcomes, including obesity, diabetes, and cardiovascular disease, the relationship between consumer nutritional knowledge and the amount consumed is poorly understood. The objective of this study was to examine the relationship between knowledge of daily calorie recommendations and the amount of SSBs consumed in a large, economically and racially diverse sample of adults recruited at selected Metro subway and bus shelters in Los Angeles County. In June 2012, the Los Angeles County Department of Public Health conducted street intercept surveys to assess food attitudes and consumption behaviors and public opinions related to a recent 8-week health marketing campaign targeting SSB consumption. Descriptive and comparative analyses were conducted, including a negative binomial regression model, to examine the relationship between knowledge of the daily calorie recommendations and the amount of SSBs consumed. Among survey respondents (n = 1,041), less than one third correctly identified the daily calorie recommendations for a typical adult. After controlling for sociodemographics and weight status, respondents who correctly identified recommended calorie needs reported, on average, drinking nine fewer SSBs per month than respondents who did not. Results suggest that efforts to reduce SSB consumption might benefit from the inclusion of educational interventions that empower consumers to make healthy choices.

Objectives. We examined multiple variables influencing school truancy to identify potential leverage points to improve school attendance. Methods. A cross-sectional observational design was used to analyze inner-city data collected in Los Angeles County, California, during 2010 to 2011. We constructed an ordinal logistic regression model with cluster robust standard errors to examine the association between truancy and various covariates. Results. The sample was predominantly Hispanic (84.3%). Multivariable analysis revealed greater truancy among students (1) with mild (adjusted odds ratio [AOR] = 1.57; 95% confidence interval [CI] = 1.22, 2.01) and severe (AOR = 1.80; 95% CI = 1.04, 3.13) depression (referent: no depression), (2) whose parents were neglectful (AOR = 2.21; 95% CI = 1.21, 4.03) or indulgent (AOR = 1.71; 95% CI = 1.04, 2.82; referent: authoritative parents), (3) who perceived less support from classes, teachers, and other students regarding college preparation (AOR = 0.87; 95% CI = 0.81, 0.95), (4) who had low grade point averages (AOR = 2.34; 95% CI = 1.49, 4.38), and (5) who reported using alcohol (AOR = 3.47; 95% CI = 2.34, 5.14) or marijuana (AOR = 1.59; 95% CI = 1.06, 2.38) during the past month. Conclusions. Study findings suggest depression, substance use, and parental engagement as potential leverage points for public health to intervene to improve school attendance.

We sought to characterize student receptivity to new menu offerings in the Los Angeles Unified School District by measuring the levels of fruit and vegetable waste after implementation of changes to the school lunch menu in fall 2011. We measured waste at four randomly selected middle schools in the school district, using two sources: a) food prepared and left over after service (production waste); and b) food that was selected but not eaten by students (plate waste). 10.2% of fruit and 28.7% of vegetable items prepared at the four schools were left over after service. Plate waste data, collected from 2228 students, suggest that many of them did not select fruit (31.5%) or vegetable (39.6%) items. Among students who did, many threw fruit and vegetable items away without eating a single bite. Our findings suggest that fruit and vegetable waste was substantial and that additional work may be needed to increase student selection and consumption of fruit and vegetable offerings. Complementary interventions to increase the appeal of fruit and vegetable options may be needed to encourage student receptivity to these healthier items in the school meal program.