Association between Consumption of Ultra-Processed Foods and Sociodemographic Characteristics in Brazilian Adolescents

Author:

Gonçalves Hélida Ventura Barbosa12ORCID,Batista Letícia Spricido1,de Amorim Ana Laura Benevenuto13ORCID,Bandoni Daniel Henrique1ORCID

Affiliation:

1. Instituto de Saúde e Sociedade, Universidade Federal de São Paulo, Santos 11015-020, SP, Brazil

2. Serviço Nacional de Aprendizagem Comercial, Senac Santos, Santos 11015-003, SP, Brazil

3. Campus Rosinha Viegas, Universidade Metropolitana de Santos, Santos 11045-002, SP, Brazil

Abstract

Background: The consumption of ultra-processed foods is associated with several negative health outcomes. Studies on adolescents have shown that this population has a high consumption of these foods, especially in high-income countries. However, there are no studies on the types of ultra-processed foods consumed. The present study evaluated secondary data from a representative sample of the National School Health Survey, the consumption of ultra-processed foods by 159,245 Brazilian adolescents. Methods: Data were collected via a self-administered questionnaire using a mobile device. A Poisson regression model was used to assess the prevalence of ultra-processed food consumption and its correlation with sociodemographic characteristics. Results: The consumption of ultra-processed foods was significant among Brazilian adolescents, and almost half of the participants reported consumption the day before. We observed that sociodemographic characteristics such as school type, race/skin color, region, municipality type, age, living with mother, living with father, and maternal education level were associated with greater or lesser consumption of ultra-processed foods. Adolescents who study in private schools, are female, white, and live in non-capital cities consume more ultra-processed foods. Conclusions: Access to in natura and minimally processed foods must be on the agenda of governments and encouraged by food and nutrition education to guarantee the right to adequate and healthy food.

Publisher

MDPI AG

Subject

Food Science,Nutrition and Dietetics

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3