Literature DB >> 33634159

Overweight in Rural Quilombola and Non-quilombola Adolescents From the Northeast of Brazil.

Stefanie M C Cairo1, Camila S S Teixeira2, Tainan O da Silva1, Etna K P da Silva3, Poliana C Martins1, Vanessa M Bezerra1, Danielle S de Medeiros1.   

Abstract

Introduction: Overweight is an emerging problem among children and adolescents that leads to the development of several morbidities and health risks. Overweight occurs differently in different populations, especially in vulnerable groups like the rural and quilombola communities (an African-descendant population). This study aimed to estimate the prevalence of overweight and to investigate the possible associated factors in rural adolescents living in both quilombola and non-quilombola communities in Northeast Brazil.
Methods: This study is a population-based cross-sectional study with a household approach carried out in 2015 with 390 adolescents (age 10-19 years) living in rural quilombola and non-quilombola communities. The nutritional status was gauged using z-scores calculated for body mass index (BMI) and varies with gender and age. Prevalence ratios (PRs) and 95% confidence intervals (95% CIs) were used to establish associations between the results and explained variables. The multivariate analysis followed a model with a hierarchical entry of covariables controlled by gender and age.
Results: The study showed that 18.5% of rural adolescents were overweight, of which 17.9% were quilombolas and 19.0% were non-quilombolas. A significant difference in overweight between the samples was not found. In the multivariate-adjusted model, age ≥16 years (PR: 0.51; 95% CI: 0.28-0.95), the habit of having regular breakfast (PR: 0.58; 95% CI: 0.35-0.98), and process of attending school (PR: 0.35; 95% CI: 0.17-0.71) were associated with a lower prevalence of overweight. Stationary screen time, in contrast, was associated with a higher prevalence (PR: 1.61; 95% CI: 1.05-2.46). The process of attending school was associated with a lower prevalence of overweight (PR: 0.26; 95% CI: 0.09-0.69), even for the quilombolas. Conclusions: A low prevalence of overweight was identified in rural adolescents. Overweight was significantly associated with the habit of having regular breakfast, older age, stationary screen time, and the process of attending school. The results reveal that school is a potential space for health promotion interventions, specifically in the most vulnerable rural regions, such as the quilombola communities. Besides, the study emphasizes the importance of adopting a healthy lifestyle early in life, including cultivating the habit of having regular breakfast and reducing stationary screen time.
Copyright © 2021 Cairo, Teixeira, da Silva, da Silva, Martins, Bezerra and de Medeiros.

Entities:  

Keywords:  African continental ancestry group; Brazil; adolescents; overweight; rural communities; vulnerable population

Year:  2021        PMID: 33634159      PMCID: PMC7900433          DOI: 10.3389/fnut.2020.593929

Source DB:  PubMed          Journal:  Front Nutr        ISSN: 2296-861X


  35 in total

1.  [Overweight in children and adolescents in Pernambuco State, Brazil: prevalence and determinants].

Authors:  Vanessa Sá Leal; Pedro Israel Cabral de Lira; Juliana Souza Oliveira; Risia C E de Menezes; Leopoldina Augusta de Souza Sequeira; Manoel Alexandre de Arruda Neto; Sonia Lúcia Lucena Sousa de Andrade; Malaquias Batista Filho
Journal:  Cad Saude Publica       Date:  2012-06       Impact factor: 1.632

2.  [Nutritional status of adolescents and its relation with socio-demographics variables: National Adolescent School-based Health Survey (PeNSE), 2009].

Authors:  Cora Araújo; Natacha Toral; Ana Carolina Feldenheimer da Silva; Gustavo Velásquez-Melendez; Antonio José Ribeiro Dias
Journal:  Cien Saude Colet       Date:  2010-10

3.  [Food insecurity in rural communities in Northeast Brazil: does belonging to a slave-descendent community make a difference?]

Authors:  Etna Kaliane Pereira da Silva; Danielle Souto de Medeiros; Poliana Cardoso Martins; Líllian de Almeida Sousa; Gislane Pereira Lima; Maria Amanda Sousa Rêgo; Tainan Oliveira da Silva; Alessandra Silva Freire; Fernanda Moitinho Silva
Journal:  Cad Saude Publica       Date:  2017-06-01       Impact factor: 1.632

4.  Narrowing socioeconomic inequality in child stunting: the Brazilian experience, 1974-2007.

Authors:  Carlos Augusto Monteiro; Maria Helena D'Aquino Benicio; Wolney Lisboa Conde; Silvia Konno; Ana Lucia Lovadino; Aluisio J D Barros; Cesar Gomes Victora
Journal:  Bull World Health Organ       Date:  2009-12-08       Impact factor: 9.408

5.  Prevalence of Overweight and Obesity among Children and Adolescents in Shandong, China: Urban-Rural Disparity.

Authors:  Ying-Xiu Zhang; Zhao-Xia Wang; Jin-Shan Zhao; Zun-Hua Chu
Journal:  J Trop Pediatr       Date:  2016-03-10       Impact factor: 1.165

6.  [Nutritional status and screen time among public school students in Niterói, Rio de Janeiro State, Brazil].

Authors:  Marcelo Barros de Vasconcellos; Luiz Antonio dos Anjos; Mauricio Teixeira Leite de Vasconcellos
Journal:  Cad Saude Publica       Date:  2013-04       Impact factor: 1.632

Review 7.  Health for the world's adolescents: a second chance in the second decade.

Authors:  Bruce Dick; B Jane Ferguson
Journal:  J Adolesc Health       Date:  2015-01       Impact factor: 5.012

8.  Urban versus rural lifestyle in adolescents: associations between environment, physical activity levels and sedentary behavior.

Authors:  Manuela Ferreira Regis; Luciano Machado Ferreira Tenório de Oliveira; Ana Raquel Mendes Dos Santos; Ameliane da Conceição Reubens Leonidio; Paula Rejane Beserra Diniz; Clara Maria Silvestre Monteiro de Freitas
Journal:  Einstein (Sao Paulo)       Date:  2016 Oct-Dec

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

10.  Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults.

Authors: 
Journal:  Lancet       Date:  2017-10-10       Impact factor: 79.321

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