Literature DB >> 30737879

Prevalence of type 2 diabetes among adolescents in Brazil: Findings from Study of Cardiovascular Risk in Adolescents (ERICA).

Gabriela H Telo1, Felipe V Cureau1,2, Moyses Szklo3,4, Katia V Bloch4, Beatriz D Schaan1,5.   

Abstract

BACKGROUND: Type 2 diabetes mellitus (T2DM) in adolescents represents a clinical challenge related to lifestyle and obesity; however, only a few data are available in developing countries. Therefore, our aim was to investigate the prevalence of T2DM and prediabetes among Brazilian adolescents, as well as to describe the cardio-metabolic profile according to the diagnosis.
METHODS: This is a cross-sectional school-based multicenter study including youth aged 12 to 17 years from cities with more than 100 000 inhabitants in Brazil (n = 37 854 students). Fasting glucose, hemoglobin A1c (HbA1c) and other cardio-metabolic risk factors were measured. Prediabetes was defined by glucose levels 100 to 125 mg/dL or HbA1c 5.7% to 6.4%. T2DM was defined by self-report, glucose ≥126 mg/dL or HbA1c ≥ 6.5%. Multinomial logistic regression was used to estimate the odds ratio (OR) of prediabetes or T2DM according to covariates.
RESULTS: Prevalences of prediabetes and T2DM were 22.0% (95% confidence interval [CI] 20.6%-23.4%) and 3.3% (95% CI 2.9%-3.7%), respectively. This estimates represented 213 830 adolescents living with T2DM and 1.46 million adolescents with prediabetes in Brazil. Prevalences of cardio-metabolic risk factors were higher in adolescents with prediabetes and T2DM. In the multinomial logistic model, obesity (OR 1.59, 95% CI 1.20-2.11), high waist circumference (OR 1.51, 95% CI 1.13-2.01), and skipping breakfast (OR 1.48, 95% CI 1.21-1.81) were associated with an increased OR for T2DM, while studying at rural area (OR 0.56, 95% CI 0.41-0.78) was associated with a decreased OR for T2DM.
CONCLUSIONS: The prevalence of T2DM and prediabetes was high among Brazilian adolescents, which highlights that this disease became a public health challenge not only among adults in Brazil.
© 2019 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Brazil; adolescents; prediabetes; prevalence; type 2 diabetes mellitus

Mesh:

Year:  2019        PMID: 30737879     DOI: 10.1111/pedi.12828

Source DB:  PubMed          Journal:  Pediatr Diabetes        ISSN: 1399-543X            Impact factor:   4.866


  7 in total

1.  Cardiovascular Statistics - Brazil 2021.

Authors:  Gláucia Maria Moraes de Oliveira; Luisa Campos Caldeira Brant; Carisi Anne Polanczyk; Deborah Carvalho Malta; Andreia Biolo; Bruno Ramos Nascimento; Maria de Fatima Marinho de Souza; Andrea Rocha De Lorenzo; Antonio Aurélio de Paiva Fagundes Júnior; Beatriz D Schaan; Fábio Morato de Castilho; Fernando Henpin Yue Cesena; Gabriel Porto Soares; Gesner Francisco Xavier Junior; Jose Augusto Soares Barreto Filho; Luiz Guilherme Passaglia; Marcelo Martins Pinto Filho; M Julia Machline-Carrion; Marcio Sommer Bittencourt; Octavio M Pontes Neto; Paolo Blanco Villela; Renato Azeredo Teixeira; Roney Orismar Sampaio; Thomaz A Gaziano; Pablo Perel; Gregory A Roth; Antonio Luiz Pinho Ribeiro
Journal:  Arq Bras Cardiol       Date:  2022-01       Impact factor: 2.000

2.  Metabolic risk is associated with sociodemographic characteristics in adolescents from both rural and urban regions from southern Brazil.

Authors:  Sonimar de Souza; João Francisco de Castro Silveira; Kelin Cristina Marques; Anelise Reis Gaya; Silvia Isabel Rech Franke; Jane Dagmar Pollo Renner; James Philip Hobkirk; Sean Carroll; Cézane Priscila Reuter
Journal:  BMC Pediatr       Date:  2022-06-02       Impact factor: 2.567

3.  Effect of dietary fat intake and genetic risk on glucose and insulin-related traits in Brazilian young adults.

Authors:  Maria Aderuza Horst; Karani Santhanakrishnan Vimaleswaran; Sooad Alsulami; Nathália Teixeira Cruvinel; Nara Rubia da Silva; Ana Carolina Antoneli; Julie A Lovegrove
Journal:  J Diabetes Metab Disord       Date:  2021-08-13

4.  Global prevalence of prediabetes in children and adolescents: A systematic review and meta-analysis.

Authors:  Chengyi Han; Qing Song; Yongcheng Ren; Xinyu Chen; Xuesong Jiang; Dongsheng Hu
Journal:  J Diabetes       Date:  2022-07-05       Impact factor: 4.530

5.  Prevalence of Diabetes and Prediabetes among Children Aged 11-14 Years Old in Vietnam.

Authors:  Duong H Phan; Vuong V Do; Long Q Khuong; Hung T Nguyen; Hoang V Minh
Journal:  J Diabetes Res       Date:  2020-03-01       Impact factor: 4.011

6.  Structural equation model of the effect of biological maturation on metabolic syndrome risk and C-reactive protein: effect of trunk fat and sports participation.

Authors:  André O Werneck; Enio R V Ronque; Rômulo A Fernandes
Journal:  Sci Rep       Date:  2021-09-10       Impact factor: 4.379

Review 7.  Infections in children with diabetes.

Authors:  Luis Eduardo Calliari; Flávia J Almeida; Renata Maria Noronha
Journal:  J Pediatr (Rio J)       Date:  2019-10-27       Impact factor: 2.990

  7 in total

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