2026-10-10T05:39:28Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33961010 2026-09-22T03:53:31Z category_7 category_15 category_21 category_39 category_45 category_734 category_106 category_122 portal_81 item_type_3 month_year_09_2026

Additional file 1 of Household income and food addiction symptoms predict ultra-processed foods intake in Brazilian university students: implications for policy Guilherme Macedo Soares Coutinho (25086620) Jasmin Bruna Stariolo (25086623) Thayane Carvalho Lemos (25086626) Camila Monteiro Fabricio Gama (10320856) Arthur Viana Machado (8415423) Daniela Silva Canella (8685066) Mirtes Garcia Pereira (2939772) Leticia de Oliveira (2939784) Isabel Antunes David (25086629) Medicine Neuroscience Biotechnology Ecology Sociology Biological Sciences not elsewhere classified Science Policy Mental Health Ultra-processed food Income Food addiction Public health Negative binomial regression Supplementary Material 1. 2026-07-01T05:00:00Z Dataset Dataset 10.6084/m9.figshare.33961010.v1 https://figshare.com/articles/dataset/Additional_file_1_of_Household_income_and_food_addiction_symptoms_predict_ultra-processed_foods_intake_in_Brazilian_university_students_implications_for_policy/33961010 CC BY