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Understanding eating choices among university students: A study using data from cafeteria cashiers’ transactions
Authors:Valentina Lorenzoni  Isotta Triulzi  Irene Martinucci  Letizia Toncelli  Michela Natilli  Roberto Barale  Giuseppe Turchetti
Institution:1. Institute of Management and Department of Excellence EMbeDS, Scuola Superiore Sant’Anna, Pisa, Italy;2. Division of Gastroenterology - Versilia Hospital, Lido di Camaiore, Lucca, Italy;3. Azienda Regionale per il Diritto allo Studio Universitario, Area Ristorazione, Pisa, Italy;4. Department of Computer Science, University of Pisa, Pisa, Italy;5. Institute of Information Science and Technologies, ISTI – Italian National Research Council (CNR), Pisa, Italy;6. Department of Biology, University of Pisa, Pisa, Italy;1. Department of Economics and Management, University of Pavia, via San Felice 5, 27100, Pavia, Italy;2. Health Econometrics and Data Group (HEDG), University of York, Alcuin Building, Heslington, YO10 5DD, York, UK;3. Department of Economics and Business Studies, University of Genoa, Via Vivaldi 5, 16126, Genoa, Italy;1. Health Economics Research Centre, University of Oxford, 0X37LF Oxford, UK;2. Leeds Institute of Health Sciences, University of Leeds, LS29JT Leeds, UK;3. Centre for Health Economics, University of York, YO105DD Heslington, UK;1. Health, Nutrition, and Population, World Bank Group, Washington, DC, United States;2. Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States;3. School of Public Health, Seoul National University, Seoul, South Korea;4. iSquared, Severna Park, MD, United States;5. Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States;1. Department of Information Management, National Chung Cheng University, Taiwan;2. School of Business and Public Administration, University of Guam, Mangilao, GU, 96923, Guam;3. Faculty of Education, The University of Hong Kong, Pokfulam Road, Pokfulam, Hong Kong;1. Law Health Justice Research Centre, Faculty of Law, University of Technology Sydney, PO Box 123, Broadway, NSW, 2007, Australia;2. School for Public Health and Primary Care, Faculty of Health, Medicine and Life Sciences, Maastricht University, the Netherlands;3. Sydney School of Public Health, University of Sydney, Australia
Abstract:ObjectiveTo illustrate the use of automatically collected data from cashier transactions to understand eating habits among university students using cafeteria and to identify individual characteristics associated with the diverse behaviors.MethodsThe study was carried out at a large university located in Pisa, central Italy, using data about meals automatically recorded from cashier transaction meals during the academic year 2015?16 as well as data from the administrative archive of the university. A model-based clustering relying on multivariate beta distribution was used to cluster eating choices while multivariate multinomial logistic regressions were applied to identify variables associated to diverse clusters identified.ResultsConsidering 4643 students and about 200,000 meals consumed, results suggest that healthy eaters represented a minority (11.2 %) of the study population while the large part of students composed their meals combining grains with processed food or proteins (32.7 %) and limiting the choice of fruit (42.9 %). Male gender and younger age were associated with eating behavior not in line with recommendations for a healthy diet.ConclusionsEating choice resulted to be “compromised” in most of students and specific characteristics associated with unhealthy choice were also identified that can help inform and target specific policy. The use of routinely collected data gives the opportunity to both cafeterias and university to take an active role in policy development.
Keywords:Eating habits  Young adulthood  University students  Food choices
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