Disordered eating behaviors and energy and nutrient intake in a regional sample of Brazilian adolescents from public schools
To estimate the prevalence of disordered eating behaviors and the association with energy and nutrient intake and nutritional status in adolescents.
A school-based cross-sectional study was performed involving a probabilistic sample of 487 teenagers (aged 15–19 years) from public schools in the Metropolitan area of Rio de Janeiro, Brazil. The Eating Attitude Test and the Bulimic Investigatory Test Edinburgh questionnaires were applied to identify abnormal eating patterns and unusual dietary patterns, respectively. Nutritional status was defined by sex- and age-specific body mass index cutoffs. Energy and nutrient intake were assessed by a 3-day food record. The association between variables was assessed by the prevalence ratio and 95% confidence intervals, Pearson’s Chi-square test, and linear regression.
The prevalence of abnormal eating patterns was 7.4% and that of unusual dietary patterns was 18.9%. Vitamin C intake was higher among girls with abnormal dietary patterns, with a consequent lower frequency of vitamin C deficiency when compared to those with normal dietary patterns. Calcium intake was lower in boys with unusual dietary pattern than in those without this behavior. Excess weight was associated with the presence of unusual dietary pattern in girls (PR: 2.4, 95% CI 1.6–3.5).
The prevalence of disordered eating behaviors was high, mainly in those who were overweight. It was associated with lower calcium intake in boys and with higher Vitamin C intake in girls.
Level of evidence
Level V, descriptive studies.
KeywordsDisordered eating behaviors Energy intake Nutrients Anthropometry Adolescents
This study was funded by Foundation for Research Support of the State of Rio de Janeiro (grant number E-26/171.404/2002) and by the National Counsel of Technological and Scientific Development (grant number 305464/2008-6).
Compliance with ethical standards
Conflict of interest
Lorena Caran declares that she has no conflict of interest. Danilo Santana declares that he has no conflict of interest. Luana Monteiro declares that she has no conflict of interest. Gloria Veiga declares that she has no conflict of interest.
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed consent was obtained from all individual participants included in the study.
- 13.Moreira NF, Sichieri R, Reichenheim ME et al (2015) The associations of BMI trajectory and excessive weight gain with demographic and socio-economic factors: the Adolescent Nutritional Assessment Longitudinal Study cohort. Br J Nutr 114:2032–2038. https://doi.org/10.1017/S0007114515003712 CrossRefPubMedGoogle Scholar
- 15.Nunes MA (2003) Avaliação do impacto de comportamentos alimentares anormais em uma coorte de mulheres jovens no sul do Brasil. Tese (Doutorado em Psiquiatria e Psicologia Médica), Universidade Federal de São Paulo, São PauloGoogle Scholar
- 16.Lwanga SK, Lemeshow S (1991) Sample Size determination in health studies: a practical manual. World Health Organization, GenevaGoogle Scholar
- 17.Gordon CC, Chumlea WC, Roche AF (1988) Stature, recumbent length and weight. In: Lohman TG, Roche AF, Martorell R (eds). Human Kinetics Books, Champaign, pp 3–8Google Scholar
- 18.Callaway CW, Chumlea WC, Bouchard C et al (1988) Circumferences. In: Lohman TG, Roche AF, Martorell R (eds) Human Kinetics Books, Champaign, pp 39–54Google Scholar
- 21.Universidade Federal de São Paulo (UNIFESP) (2005) Programa de Apoio a Nutrição (NUTWIN)—programa de computador, versão 188.8.131.52. Escola Paulista de Medicina, São PauloGoogle Scholar
- 22.Philippi ST (2001) Tabela de composição química de alimentos: suporte para decisão nutricional. Anvisa, BrasíliaGoogle Scholar
- 23.Universidade Estadual de Campinas (UNICAMP) (2006) Tabela Brasileira de Composição de Alimentos (TACO)—Versão 2. Campinas, São PauloGoogle Scholar
- 24.Instituto Brasileiro de Geografia e Estatística (IBGE) (2011) Pesquisa de orçamentos familiares (POF) 2008–2009: Tabelas de composição nutricional dos alimentos consumidos no Brasil. IBGE, Rio de JaneiroGoogle Scholar
- 25.Nusser SM, Fuller WA, Guenther PM (1997) Estimating usual dietary intake distributions: adjusting for measurement error and nonnormality in 24-hour food intake data. In: Lyberg L et al (eds) Wiley, Oxford, pp 689–709Google Scholar
- 27.Institute of Medicine (IOM) (2000) Dietary reference intakes: applications in dietary assessment. National Academy, WashingtonGoogle Scholar
- 28.Institute of Medicine (IOM) (2001) Dietary reference intakes for vitamin A, vitamin K, arsenic, boron, chromium, copper, iodine, iron, manganese, molybdenum, nickel, silicon, vanadium, and zinc. National Academy, WashingtonGoogle Scholar
- 29.Institute of Medicine (IOM) (2011) Dietary reference intakes for calcium and vitamin D. National Academy, WashingtonGoogle Scholar
- 32.Nunes MA, Bagatini LF, Abuchaim AL et al (1994) Distúrbios da conduta alimentar: considerações sobre o Teste de Atitudes Alimentares (EAT). Rev ABPAPAL 16:7–10Google Scholar
- 34.Cordás TA, Hochgraf PB (1993) O Bite. Instrumento para avaliação da Bulimia nervosa: Versão para o português. J Bras Psiquiatr 42:141–144Google Scholar
- 35.Ximenes R, Colares V, Bertulino T et al (2011) Versão brasileira do “BITE” para uso em adolescentes. Arq Bras Psicol 63:1–110Google Scholar