Waist to height ratio and cardiovascular risk factors in elderly individuals at high cardiovascular risk
Introduction: Several anthropometric measurements have been associated with cardiovascular disease, type-2 diabetes mellitus and other cardiovascular risk conditions, such as hypertension or metabolic syndrome. Waist-to-height-ratio has been proposed as a useful tool for assessing abdominal obesit...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | info:eu-repo/semantics/article |
| Language: | eng |
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Public Library of Science
2014
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| Online Access: | https://hdl.handle.net/10171/37053 |
| _version_ | 1793400173690355712 |
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| author | Guasch-Ferre, M. (Marta) Bullo, M. (Monica) Martinez-Gonzalez, M.A. (Miguel Ángel) Corella, D. (Dolores) Estruch, R. (Ramón) Covas, M.I. (María Isabel) Aros, F. (Fernando) Wärnberg, J. (Julia) Fiol, M. (Miquel) Lapetra, J. (José) Muñoz, M.A. (Miguel Angel) Serra-Majem, L. (Luis) Pinto, X. (Xavier) Babio, N. (Nancy) Diaz-Lopez, A. (Andres) Salas-Salvado, J. (Jordi) |
| author_facet | Guasch-Ferre, M. (Marta) Bullo, M. (Monica) Martinez-Gonzalez, M.A. (Miguel Ángel) Corella, D. (Dolores) Estruch, R. (Ramón) Covas, M.I. (María Isabel) Aros, F. (Fernando) Wärnberg, J. (Julia) Fiol, M. (Miquel) Lapetra, J. (José) Muñoz, M.A. (Miguel Angel) Serra-Majem, L. (Luis) Pinto, X. (Xavier) Babio, N. (Nancy) Diaz-Lopez, A. (Andres) Salas-Salvado, J. (Jordi) |
| author_sort | Guasch-Ferre, M. (Marta) |
| collection | DSpace |
| description | Introduction: Several anthropometric measurements have been associated with cardiovascular disease, type-2 diabetes
mellitus and other cardiovascular risk conditions, such as hypertension or metabolic syndrome. Waist-to-height-ratio has
been proposed as a useful tool for assessing abdominal obesity, correcting other measurements for the height of the
individual. We compared the ability of several anthropometric measurements to predict the presence of type-2 diabetes,
hyperglycemia, hypertension, atherogenic dyslipidemia or metabolic syndrome.
Materials and Methods: In our cross-sectional analyses we included 7447 Spanish individuals at high cardiovascular risk,
men aged 55–80 years and women aged 60–80 years, from the PREDIMED study. Logistic regression models were fitted to
evaluate the odds ratio of presenting each cardiovascular risk factor according to various anthropometric measures. The
areas under the receiver-operating characteristic curve (AUC) were used to compare the predictive ability of these
measurements.
Results: In this relatively homogeneous cohort with 48.6% of type-2 diabetic individuals, the great majority of the studied
anthropometric parameters were significantly and positively associated with the cardiovascular risk factors. No association
was found between BMI and body weight and diabetes mellitus. The AUCs for the waist-to-height ratio and waist
circumference were significantly higher than the AUCs for BMI or weight for type-2 diabetes, hyperglycemia, atherogenic
dyslipidemia and metabolic syndrome. Conversely, BMI was the strongest predictor of hypertension.
Conclusions: We concluded that measures of abdominal obesity showed higher discriminative ability for diabetes mellitus,
high fasting plasma glucose, atherogenic dyslipidemia and metabolic syndrome than BMI or weight in a large cohort of
elderly Mediterranean individuals at high cardiovascular risk. No significant differences were found between the predictive
abilities of waist-to-height ratio and waist circumference on the metabolic disease. |
| format | info:eu-repo/semantics/article |
| id | oai:dadun.unav.edu:10171-37053 |
| institution | Universidad de Navarra |
| language | eng |
| publishDate | 2014 |
| publisher | Public Library of Science |
| record_format | dspace |
| spelling | oai:dadun.unav.edu:10171-370532023-03-13T11:03:59Z Waist to height ratio and cardiovascular risk factors in elderly individuals at high cardiovascular risk Guasch-Ferre, M. (Marta) Bullo, M. (Monica) Martinez-Gonzalez, M.A. (Miguel Ángel) Corella, D. (Dolores) Estruch, R. (Ramón) Covas, M.I. (María Isabel) Aros, F. (Fernando) Wärnberg, J. (Julia) Fiol, M. (Miquel) Lapetra, J. (José) Muñoz, M.A. (Miguel Angel) Serra-Majem, L. (Luis) Pinto, X. (Xavier) Babio, N. (Nancy) Diaz-Lopez, A. (Andres) Salas-Salvado, J. (Jordi) Metabolic syndrome Anthropometric indicators Abdominal obesity Screening tool Disease risk Metaanalysis Men Classification Questionnaire Association Introduction: Several anthropometric measurements have been associated with cardiovascular disease, type-2 diabetes mellitus and other cardiovascular risk conditions, such as hypertension or metabolic syndrome. Waist-to-height-ratio has been proposed as a useful tool for assessing abdominal obesity, correcting other measurements for the height of the individual. We compared the ability of several anthropometric measurements to predict the presence of type-2 diabetes, hyperglycemia, hypertension, atherogenic dyslipidemia or metabolic syndrome. Materials and Methods: In our cross-sectional analyses we included 7447 Spanish individuals at high cardiovascular risk, men aged 55–80 years and women aged 60–80 years, from the PREDIMED study. Logistic regression models were fitted to evaluate the odds ratio of presenting each cardiovascular risk factor according to various anthropometric measures. The areas under the receiver-operating characteristic curve (AUC) were used to compare the predictive ability of these measurements. Results: In this relatively homogeneous cohort with 48.6% of type-2 diabetic individuals, the great majority of the studied anthropometric parameters were significantly and positively associated with the cardiovascular risk factors. No association was found between BMI and body weight and diabetes mellitus. The AUCs for the waist-to-height ratio and waist circumference were significantly higher than the AUCs for BMI or weight for type-2 diabetes, hyperglycemia, atherogenic dyslipidemia and metabolic syndrome. Conversely, BMI was the strongest predictor of hypertension. Conclusions: We concluded that measures of abdominal obesity showed higher discriminative ability for diabetes mellitus, high fasting plasma glucose, atherogenic dyslipidemia and metabolic syndrome than BMI or weight in a large cohort of elderly Mediterranean individuals at high cardiovascular risk. No significant differences were found between the predictive abilities of waist-to-height ratio and waist circumference on the metabolic disease. 2014-11-17T11:55:09Z 2014-11-17T11:55:09Z 2012 info:eu-repo/semantics/article https://hdl.handle.net/10171/37053 eng info:eu-repo/semantics/openAccess application/pdf Public Library of Science |
| spellingShingle | Metabolic syndrome Anthropometric indicators Abdominal obesity Screening tool Disease risk Metaanalysis Men Classification Questionnaire Association Guasch-Ferre, M. (Marta) Bullo, M. (Monica) Martinez-Gonzalez, M.A. (Miguel Ángel) Corella, D. (Dolores) Estruch, R. (Ramón) Covas, M.I. (María Isabel) Aros, F. (Fernando) Wärnberg, J. (Julia) Fiol, M. (Miquel) Lapetra, J. (José) Muñoz, M.A. (Miguel Angel) Serra-Majem, L. (Luis) Pinto, X. (Xavier) Babio, N. (Nancy) Diaz-Lopez, A. (Andres) Salas-Salvado, J. (Jordi) Waist to height ratio and cardiovascular risk factors in elderly individuals at high cardiovascular risk |
| title | Waist to height ratio and cardiovascular risk factors in elderly individuals at high cardiovascular risk |
| title_full | Waist to height ratio and cardiovascular risk factors in elderly individuals at high cardiovascular risk |
| title_fullStr | Waist to height ratio and cardiovascular risk factors in elderly individuals at high cardiovascular risk |
| title_full_unstemmed | Waist to height ratio and cardiovascular risk factors in elderly individuals at high cardiovascular risk |
| title_short | Waist to height ratio and cardiovascular risk factors in elderly individuals at high cardiovascular risk |
| title_sort | waist to height ratio and cardiovascular risk factors in elderly individuals at high cardiovascular risk |
| topic | Metabolic syndrome Anthropometric indicators Abdominal obesity Screening tool Disease risk Metaanalysis Men Classification Questionnaire Association |
| url | https://hdl.handle.net/10171/37053 |
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