Relationship between ultra-processed foods and metabolic syndrome in adolescents from a Brazilian Family Doctor Program

• Published in: Public health nutrition 2012-01, Vol.15 (1), p.82-87
• Main Authors: Tavares, Letícia Ferreira, Fonseca, Sandra Costa, Garcia Rosa, Maria Luiza, Yokoo, Edna Massae
• Format: Article
• Language: English
• Subjects: Adolescent; Adolescents; Blood Glucose - analysis; Blood Pressure; Brazil - epidemiology; Carbohydrates; Child; Cholesterol; Cholesterol, HDL - blood; Cross-Sectional Studies; Diet; Exercise; Fast Foods; Feeding Behavior; Female; Food; Food Handling; Genetics; Glucose; High density lipoprotein; HOT TOPIC – Overweight and Obesity; Humans; Hypertension; Male; Metabolic disorders; Metabolic syndrome; Metabolic Syndrome - diagnosis; Metabolic Syndrome - epidemiology; Metropolitan areas; Obesity; Overweight; Prevalence; Processed foods; Risk Factors; Sociodemographics; Socioeconomic Factors; Soft drinks; Surveys and Questionnaires; Teenagers; Waist Circumference; Young Adult
• ISSN: 1368-9800; 1475-2727
• DOI: 10.1017/S1368980011001571

To estimate the association between food intake and metabolic syndrome (MetS). Cross-sectional design conducted from July 2006 to December 2007. Adolescents assisted by the Family Doctor Program (FDP) in Niterói, a metropolitan area in Rio de Janeiro State, Brazil. Survey of 210 adolescents. Individuals with three or more of the following components of MetS were classified as having this syndrome: TAG ≥ 110 mg/dl; HDL cholesterol < 50 mg/dl for girls aged 12-19 years and boys aged 12-14 years or 100 mg/dl; and blood pressure ≥90th percentile. A semi-quantitative FFQ was used, and foods were grouped as: unprocessed or minimally processed foods (Group 1), processed culinary and food industry ingredients (Group 2) and ultra-processed foods (Group 3). The associations between food consumption and MetS were adjusted for sociodemographic, behavioural and family history covariates and were estimated using generalized estimation equations with the Poisson regression model. MetS was diagnosed in 6·7 % of the adolescents; the most frequent diagnostic criteria included the reduction of HDL cholesterol (46·7 %), elevated serum glucose (17·1 %) and the elevation of waist circumference (16·7 %). Crude analysis showed higher average daily intakes of energy, carbohydrates and ultra-processed foods among adolescents with MetS. After statistical adjustment, the intake of ultra-processed foods (≥3rd quartile) remained associated with MetS (prevalence ratio = 2·5; P = 0·012). High consumption of ultra-processed foods was associated with the prevalence of MetS in this adolescents group.