Waist-to-height ratio and cardiovascular risk factors in elderly individuals at high cardiovascular risk
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Waist-to-height ratio and cardiovascular risk factors in elderly individuals at high cardiovascular risk. / Guasch-Ferré, Marta; Bulló, Mònica; Martínez-González, Miguel Ángel; Corella, Dolores; Estruch, Ramon; Covas, María Isabel; Arós, Fernando; Wärnberg, Julia; Fiol, Miquel; Lapetra, José; Muñoz, Miguel Ángel; Serra-Majem, Lluís; Pintó, Xavier; Babio, Nancy; Díaz-López, Andrés; Salas-Salvadó, Jordi.
In: PLoS ONE, Vol. 7, No. 8, e43275, 2012.Research output: Contribution to journal › Journal article › Research › peer-review
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T1 - Waist-to-height ratio and cardiovascular risk factors in elderly individuals at high cardiovascular risk
AU - Guasch-Ferré, Marta
AU - Bulló, Mònica
AU - Martínez-González, Miguel Ángel
AU - Corella, Dolores
AU - Estruch, Ramon
AU - Covas, María Isabel
AU - Arós, Fernando
AU - Wärnberg, Julia
AU - Fiol, Miquel
AU - Lapetra, José
AU - Muñoz, Miguel Ángel
AU - Serra-Majem, Lluís
AU - Pintó, Xavier
AU - Babio, Nancy
AU - Díaz-López, Andrés
AU - Salas-Salvadó, Jordi
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
U2 - 10.1371/journal.pone.0043275
DO - 10.1371/journal.pone.0043275
M3 - Journal article
C2 - 22905246
AN - SCOPUS:84865057699
VL - 7
JO - PLoS ONE
JF - PLoS ONE
SN - 1932-6203
IS - 8
M1 - e43275
ER -
ID: 347807410