Clustering of risk factors for cardiometabolic diseases in low-income, female adolescents

Detalhes bibliográficos
Autor(a) principal: Melo, Elza Maria Fernandes Seabra de
Data de Publicação: 2016
Outros Autores: Azevedo, George Dantas de, Silva, João Batista da, Lemos, Telma Maria Araujo Moura, Maranhão, Técia M. O., Freitas, Ana Karla Monteiro Santana de Oliveira, Spyrides, Maria H., Costa, Eduardo Caldas
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/handle/123456789/31101
Resumo: Objective: To assess the prevalence and clustering patterns of cardiometabolic risk factors among low-income, female adolescents. Materials and methods: Cross-sectional study involving 196 students of public schools (11-19 years old). The following risk factors were considered in the analysis: excess weight, central obesity, dyslipidemia, high blood pressure, and high fasting glucose. The ratio between observed and expected prevalence and its confidence interval were used to identify clustering of risk factors that exceeded expected prevalence in the population. Results: The most prevalent risk factors were dyslipidemia (70.9%), and central obesity (39.8%), followed by excess weight (29.6%), and high blood pressure (12.8%). A total of 42.9% of adolescents had two or more risk factors, and 24% had three or more. Excess weight, central obesity, and dyslipidemia were common risk factors in the clustering patterns that showed higher-than-expected prevalence. Conclusions: Clustering of risk factors (≥ two factors) among the adolescents showed considerable prevalence, and there was a non-casual coexistence of excess weight, central obesity, and dyslipidemia (mainly low HDL-cholesterol).
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spelling Melo, Elza Maria Fernandes Seabra deAzevedo, George Dantas deSilva, João Batista daLemos, Telma Maria Araujo MouraMaranhão, Técia M. O.Freitas, Ana Karla Monteiro Santana de OliveiraSpyrides, Maria H.Costa, Eduardo Caldas2020-12-22T13:34:51Z2020-12-22T13:34:51Z2016-06MELO, Elza Maria Fernandes Seabra de; AZEVEDO, George Dantas de; SILVA, João Batista da; LEMOS, Telma Maria Araujo Moura; MARANHÃO, Técia M. O.; FREITAS, Ana Karla Monteiro Santana de Oliveira; SPYRIDES, Maria H.; COSTA, Eduardo Caldas Clustering of risk factors for cardiometabolic diseases in low-income, female adolescents. Archives Of Endocrinology And Metabolism, [s. l.], v. 60, n. 3, p. 205-210, jun. 2016. Archives of Endocrinology and Metabolism. Disponível em: https://www.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972016000300205&lng=en&tlng=en. Acesso em: 20 out. 2020. http://dx.doi.org/10.1590/2359-3997000000083.2359-3997 (print)2359-4292 (online)https://repositorio.ufrn.br/handle/123456789/31101Sociedade Brasileira de Endocrinologia e MetabologiaAttribution 3.0 Brazilhttp://creativecommons.org/licenses/by/3.0/br/info:eu-repo/semantics/openAccessAdolescentsRisk factorsCardiovascular diseaseObesityClustering of risk factors for cardiometabolic diseases in low-income, female adolescentsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleObjective: To assess the prevalence and clustering patterns of cardiometabolic risk factors among low-income, female adolescents. Materials and methods: Cross-sectional study involving 196 students of public schools (11-19 years old). The following risk factors were considered in the analysis: excess weight, central obesity, dyslipidemia, high blood pressure, and high fasting glucose. The ratio between observed and expected prevalence and its confidence interval were used to identify clustering of risk factors that exceeded expected prevalence in the population. Results: The most prevalent risk factors were dyslipidemia (70.9%), and central obesity (39.8%), followed by excess weight (29.6%), and high blood pressure (12.8%). A total of 42.9% of adolescents had two or more risk factors, and 24% had three or more. Excess weight, central obesity, and dyslipidemia were common risk factors in the clustering patterns that showed higher-than-expected prevalence. Conclusions: Clustering of risk factors (≥ two factors) among the adolescents showed considerable prevalence, and there was a non-casual coexistence of excess weight, central obesity, and dyslipidemia (mainly low HDL-cholesterol).engreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNORIGINALClusteringRiskFactors_Melo_2016.pdfClusteringRiskFactors_Melo_2016.pdfapplication/pdf105029https://repositorio.ufrn.br/bitstream/123456789/31101/1/ClusteringRiskFactors_Melo_2016.pdf64e122dc89bb04841fe2feb6ff35062fMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.ufrn.br/bitstream/123456789/31101/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/31101/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53TEXTClusteringRiskFactors_Melo_2016.pdf.txtClusteringRiskFactors_Melo_2016.pdf.txtExtracted texttext/plain30030https://repositorio.ufrn.br/bitstream/123456789/31101/4/ClusteringRiskFactors_Melo_2016.pdf.txt644bb873f948a63b2d964d92acbdfeedMD54THUMBNAILClusteringRiskFactors_Melo_2016.pdf.jpgClusteringRiskFactors_Melo_2016.pdf.jpgGenerated Thumbnailimage/jpeg1747https://repositorio.ufrn.br/bitstream/123456789/31101/5/ClusteringRiskFactors_Melo_2016.pdf.jpg55c90f364877df88d4d0fb947f589fe8MD55123456789/311012020-12-27 05:10:38.317oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2020-12-27T08:10:38Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv Clustering of risk factors for cardiometabolic diseases in low-income, female adolescents
title Clustering of risk factors for cardiometabolic diseases in low-income, female adolescents
spellingShingle Clustering of risk factors for cardiometabolic diseases in low-income, female adolescents
Melo, Elza Maria Fernandes Seabra de
Adolescents
Risk factors
Cardiovascular disease
Obesity
title_short Clustering of risk factors for cardiometabolic diseases in low-income, female adolescents
title_full Clustering of risk factors for cardiometabolic diseases in low-income, female adolescents
title_fullStr Clustering of risk factors for cardiometabolic diseases in low-income, female adolescents
title_full_unstemmed Clustering of risk factors for cardiometabolic diseases in low-income, female adolescents
title_sort Clustering of risk factors for cardiometabolic diseases in low-income, female adolescents
author Melo, Elza Maria Fernandes Seabra de
author_facet Melo, Elza Maria Fernandes Seabra de
Azevedo, George Dantas de
Silva, João Batista da
Lemos, Telma Maria Araujo Moura
Maranhão, Técia M. O.
Freitas, Ana Karla Monteiro Santana de Oliveira
Spyrides, Maria H.
Costa, Eduardo Caldas
author_role author
author2 Azevedo, George Dantas de
Silva, João Batista da
Lemos, Telma Maria Araujo Moura
Maranhão, Técia M. O.
Freitas, Ana Karla Monteiro Santana de Oliveira
Spyrides, Maria H.
Costa, Eduardo Caldas
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Melo, Elza Maria Fernandes Seabra de
Azevedo, George Dantas de
Silva, João Batista da
Lemos, Telma Maria Araujo Moura
Maranhão, Técia M. O.
Freitas, Ana Karla Monteiro Santana de Oliveira
Spyrides, Maria H.
Costa, Eduardo Caldas
dc.subject.por.fl_str_mv Adolescents
Risk factors
Cardiovascular disease
Obesity
topic Adolescents
Risk factors
Cardiovascular disease
Obesity
description Objective: To assess the prevalence and clustering patterns of cardiometabolic risk factors among low-income, female adolescents. Materials and methods: Cross-sectional study involving 196 students of public schools (11-19 years old). The following risk factors were considered in the analysis: excess weight, central obesity, dyslipidemia, high blood pressure, and high fasting glucose. The ratio between observed and expected prevalence and its confidence interval were used to identify clustering of risk factors that exceeded expected prevalence in the population. Results: The most prevalent risk factors were dyslipidemia (70.9%), and central obesity (39.8%), followed by excess weight (29.6%), and high blood pressure (12.8%). A total of 42.9% of adolescents had two or more risk factors, and 24% had three or more. Excess weight, central obesity, and dyslipidemia were common risk factors in the clustering patterns that showed higher-than-expected prevalence. Conclusions: Clustering of risk factors (≥ two factors) among the adolescents showed considerable prevalence, and there was a non-casual coexistence of excess weight, central obesity, and dyslipidemia (mainly low HDL-cholesterol).
publishDate 2016
dc.date.issued.fl_str_mv 2016-06
dc.date.accessioned.fl_str_mv 2020-12-22T13:34:51Z
dc.date.available.fl_str_mv 2020-12-22T13:34:51Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv MELO, Elza Maria Fernandes Seabra de; AZEVEDO, George Dantas de; SILVA, João Batista da; LEMOS, Telma Maria Araujo Moura; MARANHÃO, Técia M. O.; FREITAS, Ana Karla Monteiro Santana de Oliveira; SPYRIDES, Maria H.; COSTA, Eduardo Caldas Clustering of risk factors for cardiometabolic diseases in low-income, female adolescents. Archives Of Endocrinology And Metabolism, [s. l.], v. 60, n. 3, p. 205-210, jun. 2016. Archives of Endocrinology and Metabolism. Disponível em: https://www.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972016000300205&lng=en&tlng=en. Acesso em: 20 out. 2020. http://dx.doi.org/10.1590/2359-3997000000083.
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/handle/123456789/31101
dc.identifier.issn.none.fl_str_mv 2359-3997 (print)
2359-4292 (online)
identifier_str_mv MELO, Elza Maria Fernandes Seabra de; AZEVEDO, George Dantas de; SILVA, João Batista da; LEMOS, Telma Maria Araujo Moura; MARANHÃO, Técia M. O.; FREITAS, Ana Karla Monteiro Santana de Oliveira; SPYRIDES, Maria H.; COSTA, Eduardo Caldas Clustering of risk factors for cardiometabolic diseases in low-income, female adolescents. Archives Of Endocrinology And Metabolism, [s. l.], v. 60, n. 3, p. 205-210, jun. 2016. Archives of Endocrinology and Metabolism. Disponível em: https://www.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972016000300205&lng=en&tlng=en. Acesso em: 20 out. 2020. http://dx.doi.org/10.1590/2359-3997000000083.
2359-3997 (print)
2359-4292 (online)
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