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...
- 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
- Rights
- restrictedAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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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 |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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 |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_16ec |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.rights.accessrights.eng.fl_str_mv |
info:eu-repo/semantics/restrictedAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ http://purl.org/coar/access_right/c_16ec |
eu_rights_str_mv |
restrictedAccess |
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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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.coPGEgcmVsPSJsaWNlbnNlIiBocmVmPSJodHRwOi8vY3JlYXRpdmVjb21tb25zLm9yZy9saWNlbnNlcy9ieS1uYy80LjAvIj48aW1nIGFsdD0iTGljZW5jaWEgQ3JlYXRpdmUgQ29tbW9ucyIgc3R5bGU9ImJvcmRlci13aWR0aDowO3dpZHRoOjEwMHB4OyIgc3JjPSJodHRwczovL2kuY3JlYXRpdmVjb21tb25zLm9yZy9sL2J5LW5jLzQuMC84OHgzMS5wbmciIC8+PC9hPjxici8+RXN0YSBvYnJhIGVzdMOhIGJham8gdW5hIDxhIHJlbD0ibGljZW5zZSIgaHJlZj0iaHR0cDovL2NyZWF0aXZlY29tbW9ucy5vcmcvbGljZW5zZXMvYnktbmMvNC4wLyI+TGljZW5jaWEgQ3JlYXRpdmUgQ29tbW9ucyBBdHJpYnVjacOzbi1Ob0NvbWVyY2lhbCA0LjAgSW50ZXJuYWNpb25hbDwvYT4u |