Clustering of risk factors for cardiometabolic diseases in low-income, female adolescents
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , , |
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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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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https://repositorio.ufrn.br/handle/123456789/31101 |
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eng |
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eng |
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Attribution 3.0 Brazil http://creativecommons.org/licenses/by/3.0/br/ info:eu-repo/semantics/openAccess |
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Attribution 3.0 Brazil http://creativecommons.org/licenses/by/3.0/br/ |
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openAccess |
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Sociedade Brasileira de Endocrinologia e Metabologia |
publisher.none.fl_str_mv |
Sociedade Brasileira de Endocrinologia e Metabologia |
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