Literature DB >> 22326882

Understanding the correlates of adolescents' dietary intake patterns. A multivariate analysis.

Augusto César Ferreira de Moraes1, Fernando Adami, Mário Cícero Falcão.   

Abstract

We investigated dietary intake patterns (DIP) in adolescents (14-18 year-olds) and the association with demographic and socioeconomic characteristics and lifestyle variables. This school-based survey was carried out among high school students from the city of Maringá in the state of Paraná (PR), Brazil (2007). The sample included 991 students (54.5% girls) from high schools. DIPs were investigated by the frequency of weekly consumption of each food group: vegetables, fruit, rice, beans, fried food, sweet food, milk, soda, meat, eggs, alcoholic drinks. Independent variables were: demographic and socioeconomic characteristics and lifestyle variables. DIPs were identified using principal component analysis with orthogonal rotation (varimax). Three components were extracted. Component 1 (fried foods, sweets and soft drinks) was positively associated with not having breakfast for girls and dinner for boys. Moreover, component 2 (consumption of fruit and vegetables) was positively associated with having breakfast at home for boys and number of meals for girls. Component 3 (beans, eggs and meat) was positively associated with having lunch, employment and sedentary behavior level for girls. However, it was negatively associated with having lunch and dinner for boys. Adolescents who have healthier eating patterns also had other healthier behaviors regardless of gender. However, factors associated with dietary patterns differ between boys and girls.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22326882     DOI: 10.1016/j.appet.2012.01.024

Source DB:  PubMed          Journal:  Appetite        ISSN: 0195-6663            Impact factor:   3.868


  11 in total

1.  Prevalence of cardiovascular risk factors among Latin American adolescents: a multilevel analysis.

Authors:  A C F de Moraes; C Musso; M N Graffigna; J Soutelo; M Migliano; H B Carvalho; G Berg
Journal:  J Hum Hypertens       Date:  2013-08-15       Impact factor: 3.012

2.  Independent and combined effects of physical activity and sedentary behavior on blood pressure in adolescents: gender differences in two cross-sectional studies.

Authors:  Augusto César Ferreira de Moraes; Heráclito Barbosa Carvalho; Juan Pablo Rey-López; Luis Gracia-Marco; Laurent Beghin; Anthony Kafatos; David Jiménez-Pavón; Dénes Molnar; Stefaan De Henauw; Yannis Manios; Kurt Widhalm; Jonatan R Ruiz; Francisco B Ortega; Michael Sjöström; Angela Polito; Raquel Pedrero-Chamizo; Ascensión Marcos; Frederic Gottrand; Luis A Moreno
Journal:  PLoS One       Date:  2013-05-01       Impact factor: 3.240

Review 3.  Prevalence of high blood pressure in 122,053 adolescents: a systematic review and meta-regression.

Authors:  Augusto César Ferreira de Moraes; Maria Beatriz Lacerda; Luis A Moreno; Bernardo L Horta; Heráclito Barbosa Carvalho
Journal:  Medicine (Baltimore)       Date:  2014-12       Impact factor: 1.889

4.  ERICA: prevalences of hypertension and obesity in Brazilian adolescents.

Authors:  Katia Vergetti Bloch; Carlos Henrique Klein; Moyses Szklo; Maria Cristina C Kuschnir; Gabriela de Azevedo Abreu; Laura Augusta Barufaldi; Gloria Valeria da Veiga; Beatriz Schaan; Thiago Luiz Nogueira da Silva; Maurício Teixeira Leite de Vasconcellos; Ana Julia Pantoja Moraes; Ana Luíza Borges; Ana Mayra Andrade de Oliveira; Bruno Mendes Tavares; Cecília Lacroix de Oliveira; Cristiane de Freitas Cunha; Denise Tavares Giannini; Dilson Rodrigues Belfort; Eduardo Lima Santos; Elisa Brosina de Leon; Elizabeth Fujimori; Elizabete Regina Araújo Oliveira; Erika da Silva Magliano; Francisco de Assis Guedes Vasconcelos; George Dantas Azevedo; Gisela Soares Brunken; Isabel Cristina Britto Guimarães; José Rocha Faria Neto; Juliana Souza Oliveira; Kenia Mara B de Carvalho; Luis Gonzaga de Oliveira Gonçalves; Maria Inês Monteiro; Marize M Santos; Paulo César B Veiga Jardim; Pedro Antônio Muniz Ferreira; Renan Magalhães Montenegro; Ricardo Queiroz Gurgel; Rodrigo Pinheiro Vianna; Sandra Mary Vasconcelos; Tamara Beres Lederer Goldberg
Journal:  Rev Saude Publica       Date:  2016-02-23       Impact factor: 2.106

5.  Skipping breakfast is associated with adiposity markers especially when sleep time is adequate in adolescents.

Authors:  Elsie C O Forkert; Augusto Cesar Ferreira De Moraes; Heráclito Barbosa Carvalho; Yannis Manios; Kurt Widhalm; Marcela González-Gross; Angel Gutierrez; Anthony Kafatos; Laura Censi; Stefaan De Henauw; Luis A Moreno
Journal:  Sci Rep       Date:  2019-04-23       Impact factor: 4.379

6.  Concomitant Associations between Lifestyle Characteristics and Physical Activity Status in Children and Adolescents.

Authors:  Konstantinos D Tambalis; Demosthenes B Panagiotakos; Glykeria Psarra; Labros S Sidossis
Journal:  J Res Health Sci       Date:  2019-03-10

7.  FREQUENCY OF MEALS CONSUMED BY BRAZILIAN ADOLESCENTS AND ASSOCIATED HABITS: SYSTEMATIC REVIEW.

Authors:  Suzy Ferreira de Sousa; Vaneza Lira Waldow Wolf; Mariana Conteiro San Martini; Daniela de Assumpção; Antônio Azevedo de Barros Filho
Journal:  Rev Paul Pediatr       Date:  2020-06-19

8.  Major dietary patterns in Iranian adolescents: Isfahan Healthy Heart Program, Iran.

Authors:  Omolbanin Kafeshani; Nizal Sarrafzadegan; Fatemeh Nouri; Noushin Mohammadifard
Journal:  ARYA Atheroscler       Date:  2015-02

Review 9.  Sedentary behavior in Brazilian children and adolescents: a systematic review.

Authors:  Paulo Henrique Guerra; José Cazuza de Farias Júnior; Alex Antonio Florindo
Journal:  Rev Saude Publica       Date:  2016-03-22       Impact factor: 2.106

Review 10.  Influence of Parenting Practices on Eating Behaviors of Early Adolescents during Independent Eating Occasions: Implications for Obesity Prevention.

Authors:  Marla Reicks; Jinan Banna; Mary Cluskey; Carolyn Gunther; Nobuko Hongu; Rickelle Richards; Glade Topham; Siew Sun Wong
Journal:  Nutrients       Date:  2015-10-22       Impact factor: 5.717

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.