Personal, proxy, and collective food agency among early adolescents.

Early adolescence is a critical time for health behavior development because agency increases during the transition from childhood to adolescence. This qualitative study sought to identify how early adolescent participants described food-related agency. One-on-one interviews were conducted with 30 early adolescents (10-13 years). Data analysis was guided by Bandura's three modes of agency: personal, proxy, and collective. Results suggest participants' food behaviors were informed by a growing knowledge about nutrition, household food rules, and school food environments. Participants described different modes of agency in four areas - grocery shopping, cooking, consumption decisions, and nutrition information seeking - with varying degrees of agency in each area. Understanding how each of the three modes operate and the interplay between them can information future research aimed at improving the nutrition behaviors of early adolescents.

Implementing Smarter Lunchrooms Makeovers in New York state middle schools: an initial process evaluation.

BACKGROUND: This paper presents design and findings from the process evaluation of a randomized controlled trial (RCT) testing the effectiveness of Smarter Lunchrooms Movement (SLM) interventions to encourage consumption of either fruit, vegetables, or unflavored milk in middle school cafeterias (grades 6-8, typically children ages 10-14 years). Using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework adapted for environmental interventions, the process evaluation monitored fidelity to SLM protocol, determined barriers and facilitators influencing fidelity, and identified the training and support needs of implementers. METHODS: Under research team guidance, community partners (interventionists) assisted school food service staff (providers) with a six week implementation of protocol items in 13 public middle school cafeterias (two milk treatment, three vegetable treatment, four fruit treatment, and four control) in New York State during the 2013-2014 academic year. Process evaluation measures included semi-quantitative measures of implementation and maintenance (lunchroom audits) and qualitative data (environmental assessments and semi-structured interviews with school food service staff). Analyses identified challenges and opportunities for improving intervention delivery. RESULTS: Approximately 75 % of enrolled students participated in school lunch programs and thus were exposed to the SLM intervention. Findings indicated potential contamination by other nutrition-related activities in the lunchroom and larger school environment may have affected the intervention impact. Modest implementation fidelity scores were observed for intervention treatments. Providers reported treatments were acceptable and feasible, however interventionists confirmed motivation and perceived effectiveness varied among schools. Post-intervention audits revealed limited maintenance of intervention protocols. Strategies to enhance buy-in and communication among providers and increased interventionist support are recommended. CONCLUSIONS: RE-AIM was a valuable framework for this process evaluation. Results highlighted implementation barriers and facilitators, and findings will enhance interpretation of forthcoming outcome data. Results will inform future iterations of the SLM RCT and provide valuable insights for those designing environmental interventions in school cafeterias.

Evaluation of Alabama public school wellness policies and state school mandate implementation.

BACKGROUND: This study evaluated wellness policies created by Alabama public school districts and progress made in the implementation of Alabama State Department of Education (ALSDE) school food and nutrition mandates. METHODS: Wellness policies from Alabama public school districts were compared to minimum requirements under the Child Nutrition and Women, Infants, and Children (WIC) Reauthorization Act of 2004. Additionally, data were analyzed from a survey of school district superintendents regarding compliance with ALSDE mandates. Districts were graded based on the percentage of 7 components addressed in wellness policies, and on the percentage of ALSDE mandates implemented. RESULTS: The majority of school districts (71%) were in compliance with all federal wellness policy requirements. An average 6.4 components were addressed, for a mean score of 92%. Mean implementation of ALSDE mandates was 79%; only 7% of districts indicated implementing all of the mandates. No significant differences were found in federal wellness policy or ALSDE mandate compliance scores based on district type, enrollment, percentage of students eligible for free and reduced-price meals, use of an environmental assessment survey, and use of wellness committee and a nutrition professional during policy development. CONCLUSIONS: The majority of Alabama school districts created school wellness policies with appropriate content. This does not, however, guarantee effective policies. School districts have not done as well implementing ALSDE mandates, demonstrating delay between policy creation and implementation. Future research is needed regarding progress the school districts make in the implementation of school health policy and on factors influencing that progress.

The freshman 15-a closer look.

UNLABELLED: OBJECTIVES AND PARTICIPANTS: Changes in body weight, composition, and size were examined in college freshmen at the beginning (initial, n = 240) and end of fall semester 2007 (n = 214) and the end of spring semester 2008 (n = 205). METHODS: Height, weight, body composition, and waist and hip measurements were assessed. RESULTS: Mean weight, body mass index (BMI), absolute and percent body fat all increased significantly over fall semester and the academic year. About 31% of freshmen lost > or =5 lbs. Mean academic year weight gain was 2.6 lbs (entire group) and 6.0 lbs (weight gainers); body fat increased by 4.4 lbs in the weight gainers. A significant correlation (r = .509) was found between weight change and waist circumference change, but not between weight change and waist to hip ratio change. CONCLUSIONS: Freshmen weight gain is associated with increases in body fat and waist circumference, which may be troublesome should the trend continue throughout college.