Creating the Scratch Cooked School Food Framework: Qualitative Data Analysis of a Scratch Cooking Pilot.

The purpose of this study is to develop a novel framework that outlines the system required to implement scratch cooking in school kitchens. The data used in this study were 57 interviews with key stakeholders during the Return to Scratch Cooking Pilot that occurred in two New York City school kitchens in 2018-2019 and made significant modifications to many aspects of the existing school food system. The guiding framework for the data analysis was Meadows's Intervention Level Framework. Intervention Level Framework describes analyzing systems by examining five layers: (1) paradigm shift, (2) goals, (3) system structure (4) feedback and delays, and (5) structural elements. It also provides a framework for describing a system by defining its elements, interconnections, and purpose. Data analysis revealed four elements of the school food system: ingredients and recipes, kitchen, cooking, and the community. The interconnections that played a role in each of these elements were policies, practice, people, and promotion. Together, these four elements and four interconnections comprise the Scratch Cooked School Food framework, which has the purpose of being a tool for researchers and practitioners to utilize when planning, implementing, and evaluating scratch cooking in the school food environment.

Cafeteria noise exposure and fruit and vegetable consumption at school lunch: A cross-sectional study of elementary students.

Presently in the U.S., few children meet the recommendation for daily consumption of fruits and vegetables (FV). School feeding programs have shown promise for increasing FV consumption among young children. However, several aspects of the school cafeteria environment have not been examined regarding their relationship with FV consumption. The purpose of this study was to examine the relationship between noise, selected environmental factors previously explored in the literature (i.e., recess/lunch order, the amount of time allocated for lunch, the presence of a salad bar, and number of FV items offered) and 2nd and 3rd grade students' FV consumption during lunch. A digital photography method was used to assess FV consumption among students across 40 days from 20 schools and environmental exposures, including the noise or sound pressure level of the cafeteria, were assessed during lunch. On average, students in this study consumed 0.35 (SD = 0.31) cups of fruit and 0.24 (SD = 0.29) cups of vegetables. The average noise level in cafeterias was 79.7 (SD = 4.1) Leq DbA (range 70 DbA - 84 DbA). Combined FV consumption was negatively associated with noise exposure (B = -0.017; SE = 0.004; P < 0.001) in hierarchical linear models. Among young children eating in cafeterias, increased noise levels may decrease consumption of fruits and vegetables at the school lunch meal. We hypothesize that increased noise can work in two ways to decrease FV consumption: increased socializing (i.e., talking) and/or decreased hedonic enjoyment of the school lunch meal, however future research is needed to examine these mechanisms and provide causal evidence of this effect.

Wellness in the Schools: A Lunch Intervention Increases Fruit and Vegetable Consumption.

Wellness in the Schools (WITS) is a national non-profit organization partnering with public schools to provide healthy, scratch cooked, less processed meals (called an Alternative Menu), and active recess. This study examined the effects of WITS programming on school lunch consumption, including fruit and vegetable intake, in second and third grade students in New York City public schools serving a high proportion of students from low-income households. The intervention was evaluated with a quasi-experimental, controlled design with 14 elementary schools (7 that had initiated WITS programming in fall 2015 and were designated as intervention schools, and 7 matched Control schools). School lunch consumption was assessed by anonymous observation using the System of Observational Cafeteria Assessment of Foods Eaten (SOCAFE) tool in the fall of 2015 (Time 0, early intervention) and the spring of 2016 (Time 1) and 2017 (Time 2). There were no baseline data. Data were also collected on the types of entrées served in the months of October, January, and April during the two school years of the study. Across time points, and relative to students in the Control schools, students in WITS schools ate more fruits and vegetables (units = cups): Time 0: Control 0.18 vs. WITS 0.28; Time 1: Control 0.25 vs. WITS 0.31; and Time 2: Control 0.19 vs. WITS 0.27; p < 0.001. They also had more fruits and vegetables (cups) on their trays, which included more vegetables from the salad bar. However, students in the WITS schools ate fewer entrées (grain and protein) and drank less milk than students in the Control schools. Compared to the Control schools, WITS schools offered more homestyle entrées and fewer finger foods and sandwich entrees, i.e., less processed food. Students in WITS schools who received the Alternative menu and all of the WITS programming at all data collection time points selected and consumed more fruits and vegetables. Replication studies with randomized designs and true baseline data are needed to confirm these findings and to identify avenues for strengthening the effects of the program on other school lunch components.

School Lunch Environmental Factors Impacting Fruit and Vegetable Consumption.

OBJECTIVE: Assess impact of school lunch environmental factors on fruit and vegetable (F&V) consumption in second and third grade students. DESIGN: Cross-sectional observations in 1 school year. PARTICIPANTS: Students from 14 elementary schools in 4 New York City boroughs (n = 877 student-tray observations). MAIN OUTCOME MEASURE(S): Dependent variables were F&V consumption collected by visual observation. Independent variables included school lunch environmental factors, and individual-level and school-level demographics. ANALYSIS: Hierarchical linear modeling was used with F&V consumption as the outcome variable, and relevant independent variables included in each model. RESULTS: Slicing or precutting of fruits and having lunch after recess were positively associated (P < .05) with .163- and .080-cup higher fruit consumption across all students, respectively. Preplating of vegetables on lunch trays, having 2 or more vegetable options, and having lunch after recess were positively associated (P < .05) with .024-, .009-, and .007-cup higher vegetable consumption across all students, respectively. CONCLUSIONS AND IMPLICATIONS: Although there was a small increase in intake, results of the study support that some school lunch environmental factors affect children's F&V consumption, with some factors leading to more impactful increases than others. Slicing of fruits seems most promising in leading to greater fruit consumption and should be further tested.