Butel J, Banna JC, Novotny R, Franck K, Parker S, and Stephenson L. Validation of a collaboration readiness assessment tool for use by Supplemental Nutrition Assistance Program Education (SNAP-Ed) agencies and partners. Journal of Nutrition Education and Behavior. 2017;PubMed PMID: 29246568.
Banna JC, McCrory M, Fialkowski MK, Boushey CJ. Examining plausibility of self-report energy intake data: considerations for method selection. Frontiers in Nutrition. 2017;4:45.
Banna JC, Campos M, Gibby C, Graulau R, Melendez M, Reyes A, Lee JE, Palacios C. Multi-site trial using short mobile messages (SMS) to improve infant weight in low-income minorities: Development, implementation, lessons learned and future applications. Contemporary Clinical Trials. 2017;62:56-60.
The objectives of this paper are: (a) to describe development and implementation of an intervention seeking to test weekly SMS sent to parents/caregivers of infants to improve feeding practices and prevent excessive weight gain in infants in WIC in Hawai’i and Puerto Rico, (b) to determine acceptability of the intervention, and (c) to report lessons learned from implementing this intervention.
Byker CJ, Banna JC, Serrano EL. Food waste in the National School Lunch Program: 1978-2015. Journal of the Academy of Nutrition and Dietetics. 2017;117(11):1792-1807.
Food waste studies have been used for more than 40 years to assess nutrient intake, dietary quality, menu performance, food acceptability, cost, and effectiveness of nutrition education in the National School Lunch Program (NSLP). This study sought to describe methods used to measure food waste and respective results in the NSLP across time.
Banna JC, Richards R, Brown LB. College students’ perceived differences between the terms real meal, meal, and snack. Journal of Nutrition Education and Behavior. 2017;49:228-235.
The purpose of this study was to assess qualitatively and quantitatively college students’ perceived differences between a real meal, meal, and snack.
A descriptive study design was used to administer an 11-item online survey to college students from Two university campuses in the western US. Pilot testing was conducted with 20 students. The final survey was completed by 628 ethnically diverse students.
Suzuki A, Choi SY, Lim E, Tauyan S, Banna JC. Evaluation of factorial validity and reliability of a food behavior checklist for low-income Filipinos. Journal of Nutrition Education and Behavior. 2017;49:593-598.
To examine factorial validity, test-retest reliability, and internal consistency of a Tagalog-language food behavior checklist (FBC) for a low-income Filipino population.
Panizza C, Boushey CJ, Delp E, Kerr D, Lim E, Gandhi K, Banna JC. Characterizing early adolescent food waste using the mobile food record. Nutrients. 2017;9(2): 93.
This study aimed to assess the amount of plate waste and how plate waste was disposed by early adolescent girls using a mobile food record (mFR). Participants were girls nine to thirteen years residing in O’ahu, Hawai’i (n = 93). Foods selected and leftover were estimated using a three day mFR. Each leftover food was then classified as thrown into the trash, fed to a pet, eaten later, or other (e.g., composted). Repeated measures analyses of variance (ANOVA) were conducted and Tukey’s post-hoc test were used to adjust for multiple comparisons between times (breakfast, lunch, dinner, and snack) on leftover food and leftover food thrown into the trash. The percentage of food leftover and thrown into the trash was highest at lunch. The percentage of protein, grain, vegetables, fruit, and dairy leftover at lunch were unexpectedly low compared to previous studies. The median for percentage of food thrown into the trash at lunch was <5% for all food groups, and was consistently low across the day (<10%). Average energy intake was 436 kcal (±216) at lunch, and 80% of caregivers reported total household income as ≥$70,000. Studies in real-time using technology over full days may better quantify plate waste among adolescents