Dietary Patterns in Portuguese Children and Adolescent Population: The UPPER Project

Author(s):Show less -

de Moraes, Milena Miranda ^{[1, 2]} ; Oliveira, Bruno ^{[1, 3]} ; Afonso, Claudia ^{[1, 2]} ; Santos, Cristina ^{[1, 4]} ; Torres, Duarte ^{[1, 2]} ; Lopes, Carla ^{[2, 5]} ; de Miranda, Renata Costa ^{[6, 7]} ; Rauber, Fernanda ^{[6, 8, 9]} ; Antoniazzi, Luiza ^{[6, 8]} ; Levy, Renata Bertazzi ^{[6, 8]} ; Rodrigues, Sara ^{[1, 2]}

Affiliation

^[1] Univ Porto, Fac Nutr & Food Sci, P-4150180 Porto - Portugal

^[2] Univ Porto, Inst Publ Hlth, Associated Lab ITR, Lab Integrat & Translat Res Populat Hlth, P-4050600 Porto - Portugal

^[3] Inst Syst & Comp Engn Technol & Sci INESC TEC, Artificial Intelligence & Decis Support LIAAD, P-4200465 Porto - Portugal

^[4] Univ Porto, Ctr Hlth Technol & Serv Res CINTESIS, Associate Lab RISE Hlth Res Network, P-4200450 Porto - Portugal

^[5] Univ Porto, Fac Med, P-4200319 Porto - Portugal

^[6] Univ Sao Paulo, Ctr Epidemiol Res Nutr & Hlth, BR-0124690 Sao Paulo - Brazil

^[7] Univ Fed Triangulo Mineiro, Inst Hlth Sci, Dept Nutr, BR-38025440 Uberaba - Brazil

^[8] Univ Sao Paulo, Fac Med, Dept Prevent Med, BR-0124690 Sao Paulo - Brazil

^[9] Univ Sao Paulo, Sch Publ Hlth, Dept Nutr, BR-0124690 Sao Paulo - Brazil

• Document type: Journal article
• Source: NUTRIENTS; v. 13, n. 11 NOV 2021.
• Web of Science Citations: 0

Abstract

Considering the nature, extent, and purpose of food processing, this study aims to identify dietary patterns (DPs) and their associations with sociodemographic factors and diet quality in Portuguese children and adolescents. Cross-sectional data were obtained from the National Food, Nutrition and Physical Activity Survey (2015-2016) of the Portuguese population. Dietary intake was obtained from two non-consecutive days and food items were classified according to the NOVA system. The proportion (in grams) of foods in the total daily diet was considered to identify DPs by latent class analysis, with age and sex as concomitant variables. Associations of DPs with sociodemographic characteristics were assessed using multinomial logistic regression. Linear regressions adjusted by sociodemographic characteristics tested associations of DPs with diet quality. DPs identified were: ``Unhealthy `` (higher sugar-sweetened beverages, industrial breads, and sausages intake), ``Traditional `` (higher vegetables, fish, olive oil, breads, ultra-processed yogurts, and sausages intake), and ``Dairy `` (higher intake of milk, yogurt, and milk-based beverages). ``Unhealthy `` was associated with older ages and lower intake of dietary fibre and vitamins and the highest free sugars and ultra-processed foods (UPF), although all DPs presented significant consumption of UPF. These findings should be considered for the design of food-based interventions and school-feeding policies in Portugal. (AU)

• FAPESP's process: 20/15788-6 - Consumption of ultra-processed foods and indicators of diet quality in Portugal
• Grantee: Luiza Antoniazzi Gomes de Gouveia
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• FAPESP's process: 19/05972-7 - Consumption of ultra-processed foods and indicators of diet quality in Portugal
• Grantee: Renata Costa de Miranda
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• FAPESP's process: 18/07391-9 - Consumption of ultra-processed foods, nutrient profile and obesity in Portugal
• Grantee: Renata Bertazzi Levy
• Support Opportunities: Regular Research Grants