RESUMEN
BACKGROUND: Improving children's fruit and vegetable (FV) preferences may be important as preferences can predict FV consumption. The purpose of this study was to evaluate FV preferences over time, with repeated experience, as part of the Fresh Fruit and Vegetable Program (FFVP). METHODS: Fruits (F; N = 28) and vegetables (V; N = 29) were distributed twice a week, over 35 weeks, at a participating FFVP school (N = 236 students, 12 teachers, K-2nd grade). Preference ratings using 3-point Likert scale were analyzed over 35 weeks. RESULTS: For 57 FVs rated for preference, ratings revealed that F had higher frequency of children choosing "I like it" than for V (78% F; 38.2% V; p < .05) and liking distribution was different between F and V (p < .001). Significant relations were found between liking and: (1) grade (r = -0.02, p = .02), and (2) time (r = -0.09, p < .001). Models indicated that V served (ß = -0.40), timepoint (ß = -0.07), and grade level (ß = -0.02) accounted for significant variance for preference ratings (R2 = 0.17, p < .001), indicating that preference ratings declined over time. CONCLUSIONS: Fruits were preferred over vegetables. Overall preference ratings were negatively impacted by time, grade level, and vegetables served. Being exposed one time to a variety of FVs did not improve ratings for vegetables.
Asunto(s)
Frutas , Verduras , Agricultura , Niño , Preferencias Alimentarias , Humanos , Evaluación de Programas y Proyectos de Salud , Instituciones Académicas , Estudiantes , Estados UnidosRESUMEN
OBJECTIVE: The US Department of Agriculture Fresh Fruit and Vegetable Program (FFVP) allows schools to increase fruit and vegetable (FV) exposure by distributing FV as snacks. The objective of this study was to compare kindergarten through second (K-2nd)-graders who were exposed or not to FFVP for preferences and identification. DESIGN, SETTING, PARTICIPANTS: The FV Preference Survey for K-2nd-graders contained 12 fruits and 12 vegetables, a 3-Likert scale (liked it, okay, don't like it), and an I don't know option. Data were collected from K-2nd-graders at 2 elementary schools near Chicago, IL (n = 435, FFVP school, n = 235 with 12 teachers; non-FFVP school, n = 200 with 10 teachers). MAIN OUTCOME MEASURE(S): Mean preference scores. ANALYSIS: Chi-square, Mann-Whitney U, and multiple linear regression analyses compared school data (P < .05). RESULTS: There were significant differences in mean preference scores, with higher fruit scores at the FFVP school (1.8 ± 0.6) than at the non-FFVP school (1.7 ± 0.6). In contrast, there was a higher vegetable score for the non-FFVP school (1.3 ± 0.9) than for the FFVP school (1.2 ± 0.9). The school variable had weak impact on fruit ranking (multivariate coefficient = 0.01; P < .05). For fruits and vegetables and combined, there were fewer I don't know responses in the FFVP (χ2 = 149.080; P < .01). CONCLUSIONS AND IMPLICATIONS: At the FFVP school, fewer I don't know responses suggested better FV identification. Non-FFVP students had higher vegetable preferences than did FFVP students. Tasting a variety of FV may help with identifying FV, but more research is needed to determine the impact on preferences.
Asunto(s)
Preferencias Alimentarias , Frutas , Estudiantes/estadística & datos numéricos , Verduras , Chicago , Niño , Estudios Transversales , Femenino , Humanos , Masculino , Instituciones Académicas , Encuestas y Cuestionarios , Estados Unidos , United States Department of AgricultureRESUMEN
OBJECTIVE: To design a replicable training protocol for visual estimation of fruit and vegetable (FV) intake of kindergarten through second-grade students through digital photography of lunch trays that results in reliable data for FV served and consumed. METHODS: Protocol development through literature and researcher input was followed by 3 laboratory-based trainings of 3 trainees. Lunchroom data collection sessions were done at 2 elementary schools for kindergarten through second-graders. Intraclass correlation coefficients (ICCs) were used. RESULTS: By training 3, ICC was substantial for amount of FV served and consumed (0.86 and 0.95, respectively; P < .05). The ICC was moderate for percentage of fruits consumed (0.67; P = .06). In-school estimates for ICCs were all significant for amounts served at school 1 and percentage of FV consumed at both schools. CONCLUSIONS AND IMPLICATIONS: The protocol resulted in reliable estimation of combined FV served and consumed using digital photography. The ability to estimate FV intake accurately will benefit intervention development and evaluation.