Obesity and lipid-related parameters in the identification of older adults with a high risk of prediabetes according to the American Diabetes Association : an analysis of the 2015 health, well-being, and aging study
Q1
- Autores:
-
Ramírez-Vélez, Robinson
Pérez-Sousa, Miguel Ángel
González-Ruíz, Katherine
Cano-Gutierrez, Carlos
Schmidt-RioValle, Jacqueline
Correa-Rodríguez, María
Izquierdo, Mikel
Romero-García, Jesús Astolfo
Campos-Rodríguez, Adriana Yolanda
Triana-Reina, Héctor Reynaldo
González-Jiménez, Emilio
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2019
- Institución:
- Pontificia Universidad Javeriana
- Repositorio:
- Repositorio Universidad Javeriana
- Idioma:
- eng
- OAI Identifier:
- oai:repository.javeriana.edu.co:10554/53521
- Acceso en línea:
- https://login.ezproxy.javeriana.edu.co/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=mnh&AN=31689977&lang=es&site=eds-live
http://hdl.handle.net/10554/53521
http://dx.doi.org/10.3390/nu11112654
- Palabra clave:
- Adiposity
Prediabetes
Lipids
Anthropometric measure
Elderly
- Rights
- License
- Atribución-NoComercial 4.0 Internacional
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Obesity and lipid-related parameters in the identification of older adults with a high risk of prediabetes according to the American Diabetes Association : an analysis of the 2015 health, well-being, and aging study |
| title |
Obesity and lipid-related parameters in the identification of older adults with a high risk of prediabetes according to the American Diabetes Association : an analysis of the 2015 health, well-being, and aging study |
| spellingShingle |
Obesity and lipid-related parameters in the identification of older adults with a high risk of prediabetes according to the American Diabetes Association : an analysis of the 2015 health, well-being, and aging study Adiposity Prediabetes Lipids Anthropometric measure Elderly |
| title_short |
Obesity and lipid-related parameters in the identification of older adults with a high risk of prediabetes according to the American Diabetes Association : an analysis of the 2015 health, well-being, and aging study |
| title_full |
Obesity and lipid-related parameters in the identification of older adults with a high risk of prediabetes according to the American Diabetes Association : an analysis of the 2015 health, well-being, and aging study |
| title_fullStr |
Obesity and lipid-related parameters in the identification of older adults with a high risk of prediabetes according to the American Diabetes Association : an analysis of the 2015 health, well-being, and aging study |
| title_full_unstemmed |
Obesity and lipid-related parameters in the identification of older adults with a high risk of prediabetes according to the American Diabetes Association : an analysis of the 2015 health, well-being, and aging study |
| title_sort |
Obesity and lipid-related parameters in the identification of older adults with a high risk of prediabetes according to the American Diabetes Association : an analysis of the 2015 health, well-being, and aging study |
| dc.creator.fl_str_mv |
Ramírez-Vélez, Robinson Pérez-Sousa, Miguel Ángel González-Ruíz, Katherine Cano-Gutierrez, Carlos Schmidt-RioValle, Jacqueline Correa-Rodríguez, María Izquierdo, Mikel Romero-García, Jesús Astolfo Campos-Rodríguez, Adriana Yolanda Triana-Reina, Héctor Reynaldo González-Jiménez, Emilio |
| dc.contributor.author.none.fl_str_mv |
Ramírez-Vélez, Robinson Pérez-Sousa, Miguel Ángel González-Ruíz, Katherine Cano-Gutierrez, Carlos Schmidt-RioValle, Jacqueline Correa-Rodríguez, María Izquierdo, Mikel Romero-García, Jesús Astolfo Campos-Rodríguez, Adriana Yolanda Triana-Reina, Héctor Reynaldo González-Jiménez, Emilio |
| dc.contributor.corporatename.none.fl_str_mv |
Pontificia Universidad Javeriana. Facultad de Medicina. Instituto de Envejecimiento |
| dc.subject.keyword.spa.fl_str_mv |
Adiposity Prediabetes Lipids Anthropometric measure Elderly |
| topic |
Adiposity Prediabetes Lipids Anthropometric measure Elderly |
| description |
Q1 |
| publishDate |
2019 |
| dc.date.created.none.fl_str_mv |
2019 |
| dc.date.accessioned.none.fl_str_mv |
2021-04-13T22:44:21Z |
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2021-04-13T22:44:21Z |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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20726643 |
| dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10554/53521 |
| dc.identifier.doi.spa.fl_str_mv |
http://dx.doi.org/10.3390/nu11112654 |
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instname:Pontificia Universidad Javeriana |
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https://login.ezproxy.javeriana.edu.co/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=mnh&AN=31689977&lang=es&site=eds-live http://hdl.handle.net/10554/53521 http://dx.doi.org/10.3390/nu11112654 |
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20726643 instname:Pontificia Universidad Javeriana reponame:Repositorio Institucional - Pontificia Universidad Javeriana repourl:https://repository.javeriana.edu.co |
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eng |
| language |
eng |
| dc.relation.citationstartpage.spa.fl_str_mv |
2654 |
| dc.relation.ispartofjournal.spa.fl_str_mv |
Nutrients |
| dc.relation.citationvolume.spa.fl_str_mv |
11 |
| dc.relation.citationissue.spa.fl_str_mv |
11 |
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Atribución-NoComercial 4.0 Internacional |
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2015 |
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Atribución-NoComercial 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc/4.0/http://purl.org/coar/access_right/c_abf2Ramírez-Vélez, RobinsonPérez-Sousa, Miguel ÁngelGonzález-Ruíz, KatherineCano-Gutierrez, CarlosSchmidt-RioValle, JacquelineCorrea-Rodríguez, MaríaIzquierdo, MikelRomero-García, Jesús AstolfoCampos-Rodríguez, Adriana YolandaTriana-Reina, Héctor ReynaldoGonzález-Jiménez, EmilioPontificia Universidad Javeriana. Facultad de Medicina. Instituto de Envejecimiento20152021-04-13T22:44:21Z2021-04-13T22:44:21Z2019https://login.ezproxy.javeriana.edu.co/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=mnh&AN=31689977&lang=es&site=eds-live20726643http://hdl.handle.net/10554/53521http://dx.doi.org/10.3390/nu11112654instname:Pontificia Universidad Javerianareponame:Repositorio Institucional - Pontificia Universidad Javerianarepourl:https://repository.javeriana.edu.coPDFapplication/pdfengObesity and lipid-related parameters in the identification of older adults with a high risk of prediabetes according to the American Diabetes Association : an analysis of the 2015 health, well-being, and aging studyArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1Q1Q1This study evaluated the predictive ability of 11 obesity- and lipid-related parameters, including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WtHR), body roundness index (BRI), "A" body-shape index (ABSI), conicity index (CI), visceral adiposity index (VAI), triglyceride-to-glucose fasting index (TyG), triglyceride-to-glucose fasting related to BMI (TyG-BMI), triglyceride-to-glucose fasting related to WC (TyG-WC), and triglyceride-to-glucose fasting related to WtHR (TyG-WtHR), to identify patients from an elderly Colombian population with a high risk of prediabetes according to the 2016 American Diabetes Association criteria. The data were obtained from the 2015 Colombian Health and Wellbeing and Aging Survey. A total of 3307 elderly Colombian individuals (aged over 60 years) were included. Anthropometric data, fasting plasma glucose, blood lipid profiles, family history, and health-related behaviors were assessed, and prediabetes was defined as a fasting plasma glucose of 100 to 125 mg/dL. The areas under the receiver operating characteristic (ROC) curves (AUCs) were calculated for each anthropometric indicator, using the prediabetes classification to identify their sensitivity and specificity, and these indicated that the prevalence of prediabetes was 25.3% in this population. After adjusting for potential confounding factors, the TyG index was strongly associated with the odds of having prediabetes in both sexes, and multivariate logistic regression analysis showed that the ORs for prediabetes increased across quartiles ( p < 0.001). The TyG index was best able to identify prediabetes in either sex (AUC and optimal cut-off = 0.700 and 8.72, and 0.695 and 8.92 for men and women, respectively), suggesting that compared to the other parameters, the TyG index has the best discriminative power to predict prediabetes in the whole population. Thus, we propose the TyG index be used as a complementary marker for assessing prediabetes in older adults.Revista Internacional - IndexadaAdiposityPrediabetesLipidsAnthropometric measureElderly2654Nutrients1111LICENSElicense.txtlicense.txttext/plain; charset=utf-82603http://repository.javeriana.edu.co/bitstream/10554/53521/2/license.txt2070d280cc89439d983d9eee1b17df53MD52open accessORIGINALObesity and lipid.pdfObesity and lipid.pdfArtículoapplication/pdf6671861http://repository.javeriana.edu.co/bitstream/10554/53521/1/Obesity%20and%20lipid.pdf6d4fed8dd4f91697eb4c5aa0da748ce1MD51embargoed access|||9999-04-11THUMBNAILObesity and lipid.pdf.jpgObesity and lipid.pdf.jpgIM Thumbnailimage/jpeg11972http://repository.javeriana.edu.co/bitstream/10554/53521/3/Obesity%20and%20lipid.pdf.jpg0ad9508f3273d4d8c3348f71ba9740cbMD53open access10554/53521oai:repository.javeriana.edu.co:10554/535212021-07-14 16:32:13.58Repositorio Institucional - Pontificia Universidad Javerianarepositorio@javeriana.edu.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 |