Age-specific waist circumference cutoff-points for abdominal obesity diagnosis: a personalized strategy for a large Venezuelan population

Background Evidence shows that the ageing process is a determining factor in fat distribution, composition, and functionality. The goal of this research was to determine cut-off points for waist circumference according to age in the adult population from Maracaibo city, Venezuela. Methodology The Me...

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Autores:
Bermudez, Valmore
Salazar, Juan
Martínez, María Sofía
Olivar, Luis Carlos
Nava, Manuel
Rojas, Milagros
Ortega, Ángel
Añez. Roberto
Rojas, Joselyn
Rodríguez, Johel E.
D'Marco, Luis
Cano, Clímaco
Toledo, Alexandra
Chacín, Maricarmen
Tipo de recurso:
Fecha de publicación:
2021
Institución:
Universidad Simón Bolívar
Repositorio:
Repositorio Digital USB
Idioma:
eng
OAI Identifier:
oai:bonga.unisimon.edu.co:20.500.12442/8383
Acceso en línea:
https://hdl.handle.net/20.500.12442/8383
https://doi.org/10.1007/s40200-021-00735-0
Palabra clave:
Obesity
Waist circumference
Aging
Hypertension
Metabolic syndrome
Coronary artery disease
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restrictedAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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network_name_str Repositorio Digital USB
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dc.title.eng.fl_str_mv Age-specific waist circumference cutoff-points for abdominal obesity diagnosis: a personalized strategy for a large Venezuelan population
title Age-specific waist circumference cutoff-points for abdominal obesity diagnosis: a personalized strategy for a large Venezuelan population
spellingShingle Age-specific waist circumference cutoff-points for abdominal obesity diagnosis: a personalized strategy for a large Venezuelan population
Obesity
Waist circumference
Aging
Hypertension
Metabolic syndrome
Coronary artery disease
title_short Age-specific waist circumference cutoff-points for abdominal obesity diagnosis: a personalized strategy for a large Venezuelan population
title_full Age-specific waist circumference cutoff-points for abdominal obesity diagnosis: a personalized strategy for a large Venezuelan population
title_fullStr Age-specific waist circumference cutoff-points for abdominal obesity diagnosis: a personalized strategy for a large Venezuelan population
title_full_unstemmed Age-specific waist circumference cutoff-points for abdominal obesity diagnosis: a personalized strategy for a large Venezuelan population
title_sort Age-specific waist circumference cutoff-points for abdominal obesity diagnosis: a personalized strategy for a large Venezuelan population
dc.creator.fl_str_mv Bermudez, Valmore
Salazar, Juan
Martínez, María Sofía
Olivar, Luis Carlos
Nava, Manuel
Rojas, Milagros
Ortega, Ángel
Añez. Roberto
Rojas, Joselyn
Rodríguez, Johel E.
D'Marco, Luis
Cano, Clímaco
Toledo, Alexandra
Chacín, Maricarmen
dc.contributor.author.none.fl_str_mv Bermudez, Valmore
Salazar, Juan
Martínez, María Sofía
Olivar, Luis Carlos
Nava, Manuel
Rojas, Milagros
Ortega, Ángel
Añez. Roberto
Rojas, Joselyn
Rodríguez, Johel E.
D'Marco, Luis
Cano, Clímaco
dc.contributor.author.spa.fl_str_mv Toledo, Alexandra
Chacín, Maricarmen
dc.subject.eng.fl_str_mv Obesity
Waist circumference
Aging
Hypertension
Metabolic syndrome
Coronary artery disease
topic Obesity
Waist circumference
Aging
Hypertension
Metabolic syndrome
Coronary artery disease
description Background Evidence shows that the ageing process is a determining factor in fat distribution, composition, and functionality. The goal of this research was to determine cut-off points for waist circumference according to age in the adult population from Maracaibo city, Venezuela. Methodology The Metabolic Syndrome Prevalence Study is a descriptive, cross-sectional study with multi-stage randomized sampling. In this post-hoc analysis 1902 individuals ≥18 years and from both sexes were evaluated. Waist circumference ROC curves were built for each age group and sex, using metabolic phenotypes for classification. Results 52.2% (n = 992) were women, and the mean age was 38.7 ± 2. Cut-off points obtained for the <30 years age group were: 91 cm for women (Sensitivity: 96,8%, Specificity: 97,7%) and 94 cm for men (Sensitivity:100%, Specificity: 99,2%); for 30–49 years: women 94 cm (Sensitivity: 93.7%, Specificity: 97.1%) and men 95 cm (Sensitivity: 97.3%, Specificity: 100%); for ≥50 years: women 94 cm (Sensitivity: 91.8%, Specificity: 86.7%) and men 101 cm (Sensitivity: 100%, Specificity: 100%) Conclusion The use of specific cut-off points according to age groups is proposed to determine abdominal obesity in Maracaibo city due to the underestimation seen in young people and the overestimation observed in older people when using a unique cut-off point.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-09-14T22:55:17Z
dc.date.available.none.fl_str_mv 2021-09-14T22:55:17Z
dc.date.issued.none.fl_str_mv 2021
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dc.type.driver.eng.fl_str_mv info:eu-repo/semantics/article
dc.type.spa.spa.fl_str_mv Artículo científico
dc.identifier.citation.eng.fl_str_mv Bermudez, V., Salazar, J., Martínez, M.S. et al. Age-specific waist circumference cutoff-points for abdominal obesity diagnosis: a personalized strategy for a large Venezuelan population. J Diabetes Metab Disord 20, 217–227 (2021). https://doi.org/10.1007/s40200-021-00735-0
dc.identifier.issn.none.fl_str_mv 22516581
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12442/8383
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1007/s40200-021-00735-0
identifier_str_mv Bermudez, V., Salazar, J., Martínez, M.S. et al. Age-specific waist circumference cutoff-points for abdominal obesity diagnosis: a personalized strategy for a large Venezuelan population. J Diabetes Metab Disord 20, 217–227 (2021). https://doi.org/10.1007/s40200-021-00735-0
22516581
url https://hdl.handle.net/20.500.12442/8383
https://doi.org/10.1007/s40200-021-00735-0
dc.language.iso.eng.fl_str_mv eng
language eng
dc.rights.*.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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dc.format.mimetype.eng.fl_str_mv pdf
dc.publisher.eng.fl_str_mv Springer
dc.source.eng.fl_str_mv Journal of Diabetes & Metabolic Disorders
dc.source.none.fl_str_mv N° 20 (2021)
institution Universidad Simón Bolívar
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spelling Bermudez, Valmore5da7cbe7-5d01-4c1a-b6a5-583e21930a10Salazar, Juanfbd053e7-5aea-424c-812f-92153ecb9181Martínez, María Sofía24132de7-a45a-499c-aa91-9dc68c5cbf09Olivar, Luis Carlos212e67d1-e669-4a31-9299-d653994d03a6Nava, Manuelcf0ca570-5fc3-4ec7-9913-90be952261e2Rojas, Milagrosd07a9d4d-cce2-438c-b4a0-fc5ed4af1a67Ortega, Ángelb6a809bb-4d26-4e53-9419-e4eb9fb40a9bAñez. Roberto8dbc4ba3-39d6-4e03-a5a7-e11d774336cfRojas, Joselyn2aa91570-0516-424d-8f76-25cd7b39be6eRodríguez, Johel E.c676ecb4-6592-4c68-a85c-37fda5ef7e00D'Marco, Luis4f289143-892b-43a3-ac1f-6f462224f314Cano, Clímacob7d55d6b-f1bf-4136-9b90-54a80ab90ab2Toledo, Alexandra0f04081f-1ce8-4196-bc29-008f57420df6Chacín, Maricarmen5c3b3d7c-4444-47e2-b2be-11f08df104092021-09-14T22:55:17Z2021-09-14T22:55:17Z2021Bermudez, V., Salazar, J., Martínez, M.S. et al. Age-specific waist circumference cutoff-points for abdominal obesity diagnosis: a personalized strategy for a large Venezuelan population. J Diabetes Metab Disord 20, 217–227 (2021). https://doi.org/10.1007/s40200-021-00735-022516581https://hdl.handle.net/20.500.12442/8383https://doi.org/10.1007/s40200-021-00735-0Background Evidence shows that the ageing process is a determining factor in fat distribution, composition, and functionality. The goal of this research was to determine cut-off points for waist circumference according to age in the adult population from Maracaibo city, Venezuela. Methodology The Metabolic Syndrome Prevalence Study is a descriptive, cross-sectional study with multi-stage randomized sampling. In this post-hoc analysis 1902 individuals ≥18 years and from both sexes were evaluated. Waist circumference ROC curves were built for each age group and sex, using metabolic phenotypes for classification. Results 52.2% (n = 992) were women, and the mean age was 38.7 ± 2. Cut-off points obtained for the <30 years age group were: 91 cm for women (Sensitivity: 96,8%, Specificity: 97,7%) and 94 cm for men (Sensitivity:100%, Specificity: 99,2%); for 30–49 years: women 94 cm (Sensitivity: 93.7%, Specificity: 97.1%) and men 95 cm (Sensitivity: 97.3%, Specificity: 100%); for ≥50 years: women 94 cm (Sensitivity: 91.8%, Specificity: 86.7%) and men 101 cm (Sensitivity: 100%, Specificity: 100%) Conclusion The use of specific cut-off points according to age groups is proposed to determine abdominal obesity in Maracaibo city due to the underestimation seen in young people and the overestimation observed in older people when using a unique cut-off point.pdfengSpringerAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/restrictedAccesshttp://purl.org/coar/access_right/c_16ecJournal of Diabetes & Metabolic DisordersN° 20 (2021)ObesityWaist circumferenceAgingHypertensionMetabolic syndromeCoronary artery diseaseAge-specific waist circumference cutoff-points for abdominal obesity diagnosis: a personalized strategy for a large Venezuelan populationinfo:eu-repo/semantics/articleArtículo científicohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://bonga.unisimon.edu.co/bitstreams/da4e83a5-9f49-4525-8252-f3cdf9c63862/download4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-8381https://bonga.unisimon.edu.co/bitstreams/a0dd6e75-1d2a-471b-a637-8e5a926bb9b5/download733bec43a0bf5ade4d97db708e29b185MD5320.500.12442/8383oai:bonga.unisimon.edu.co:20.500.12442/83832024-08-14 21:52:28.466http://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internacionalmetadata.onlyhttps://bonga.unisimon.edu.coRepositorio Digital Universidad Simón Bolívarrepositorio.digital@unisimon.edu.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