Ethnic Disparities in Trends in High BMI Among California Adolescents, 2003-2012.

INTRODUCTION: Because California is home to one in eight U.S. children and accounts for the highest Medicaid and Children's Health Insurance Program spending, childhood obesity trends in California have important implications for the entire nation. California's racial/ethnic diversity and large school-based data set provide a unique opportunity to examine trends by race/ethnicity, including understudied Asian and American Indian youth, which has not been possible using national data sets. This study examined racial/ethnic disparities in prevalence of high BMI from 2003 to 2012. METHODS: This observational study included 11,624,865 BMI records from repeated cross-sections of fifth-, seventh-, and ninth-graders who underwent California's school-based fitness testing. Analyses conducted in 2015 used logistic regression to identify trends in prevalence of high BMI (BMI ≥85th, 95th, and 97th percentiles) and differences in trends by race/ethnicity from 2003 to 2012. RESULTS: African American and Hispanic girls and American Indian boys increased in prevalence of high BMI, whereas non-Hispanic white and Asian youth and Hispanic boys decreased in prevalence of high BMI (p-values<0.05) from 2003 to 2012. Over this period, African American, Hispanic, and American Indian youth had higher slopes for trends in high BMI than non-Hispanic white youth (p-values<0.05). CONCLUSIONS: Based on California's statewide data, there is evidence that racial/ethnic disparities in prevalence of high BMI have widened over time. Minority youth have either decreased more slowly or increased in prevalence compared with non-Hispanic white youth. There continues to be an urgent need for policies and interventions that effectively reduce racial/ethnic obesity prevalence disparities.

Added sugar intake and metabolic syndrome in US adolescents: cross-sectional analysis of the National Health and Nutrition Examination Survey 2005-2012.

OBJECTIVE: To examine the association between added sugar intake and metabolic syndrome among adolescents. DESIGN: Dietary, serum biomarker, anthropometric and physical activity data from the US National Health and Nutrition Examination Survey cycles between 2005 and 2012 were analysed using multivariate logistic regression models. Added sugar intake in grams per day was estimated from two 24 h standardized dietary recalls and then separated into quintiles from lowest to highest consumption. Multivariate logistic regression analyses were adjusted for physical activity, age, BMI Z-score and energy intake, and their interactions with race were included. SETTING: Nationally representative sample, USA. SUBJECTS: US adolescents aged 12-19 years (n 1623). RESULTS: Added sugar was significantly associated with metabolic syndrome. The adjusted prevalence odds ratios for having metabolic syndrome comparing adolescents in the third, fourth and fifth quintiles v. those in the lowest quintile of added sugar were 5·3 (95 % CI 1·4, 20·6), 9·9 (95 % CI 1·9, 50·9) and 8·7 (95 % CI 1·4, 54·9), respectively. CONCLUSIONS: Our findings suggest that higher added sugar intake, independent of total energy intake, physical activity or BMI Z-score, is associated with increased prevalence of metabolic syndrome in US adolescents. Further studies are needed to determine if reducing intake of added sugar may help US adolescents prevent or reverse metabolic syndrome.

Effect of the Healthy Schools Program on prevalence of overweight and obesity in California schools, 2006-2012.

INTRODUCTION: The Alliance for a Healthier Generation's Healthy Schools Program (HSP) is a national evidence-based obesity-prevention initiative aimed at providing the schools in greatest need with onsite training and technical assistance (TTA) and consultation with national experts (HSP national advisors) to create sustainable healthy change in schools' nutrition and physical activity environments. The objective of this study was to evaluate the impact of HSP on the prevalence of overweight and obesity in California schools, from HSP's inception in 2006 through 2012. METHODS: We used statewide body mass index (BMI) data collected annually from 5th-, 7th-, and 9th-grade students to determine whether enrolling in the HSP's onsite intervention reduced the prevalence of overweight and obesity in intervention schools (n = 281) versus propensity-score matched control schools (n = 709) and whether increasing exposure to the program (TTA and contact with HSP national advisors) was associated with reductions in the prevalence of overweight and obesity. RESULTS: Analyses showed no difference between HSP schools and control schools in overweight or obesity prevalence. However, program exposure varied widely among participating schools, and each additional contact with TTA or HSP national advisors was associated with a 0.3% decline in overweight and obesity prevalence (P < .05). CONCLUSION: HSP appears to be an important means of supporting schools in reducing obesity. Although participation in HSP alone was not sufficient to improve weight status in California schools, there was a clear dose-response relationship to the program. HSP serves as an effective model for addressing childhood obesity among engaged schools.

Passive commuting and dietary intake in fourth and fifth grade students.

BACKGROUND: Promoting active commuting by walking or biking to and from school could increase physical activity and reduce obesity among youth. However, exposure to the retail food environment while commuting may lead to greater dietary intake among active commuters. PURPOSE: To examine the relationship between commute patterns and dietary intake and quality in elementary students. METHODS: Fourth and fifth grade students (N=3,316) in 44 California schools reported commute modes to and from school and dietary intake for the same 24-hour period in 2012. Differences between active and passive commuters in total energy intake (kcal), energy from purchased foods, and energy from sweets and snack-type foods were compared, stratified by after-school program (ASP) participation (analysis conducted in 2013). RESULTS: Twenty-three percent of youth actively commuted to school; 27% actively commuted from school. Passive commuters, 87% of whom traveled by car, consumed 78 more kcal from purchased foods (p<0.01) than active commuters in the 24-hour period, though total energy intake did not differ by commute mode overall or by ASP participation. Among the 72% of students who did not attend an ASP, passive commuters consumed 56 more kcal from purchased foods (p<0.01) and 25 more kcal from sweets and snack-type foods (p=0.02) than active commuters. CONCLUSIONS: Passive commuters consumed more sweets and snack-type foods and more purchased foods than active commuters. These results, which suggest that parents are providing unhealthy foods for their children during the school commute, reinforce the need for multilevel strategies to promote energy balance in youth.