Waist-to-height ratio and cardiovascular risk factors in elderly individuals at high cardiovascular risk

PLoS ONE

Volumn 7, Issue 8, 2012, Pages

  Guasch Ferré, Marta ^a,b   Bulló, Mònica ^a,b   Martínez González, Miguel Ángel ^c   Corella, Dolores ^d   Estruch, Ramon ^b,e   Covas, María Isabel ^f   Arós, Fernando ^c,g   Wärnberg, Julia ^h   Fiol, Miquel ⁱ   Lapetra, José ^j   Muñoz, Miguel Ángel ^k   Serra Majem, Lluís ^c,l   Pintó, Xavier ^c,m   Babio, Nancy ^a,b   Díaz López, Andrés ^a,b   Salas Salvadó, Jordi ^a,b  

^a INSTITUT D INVESTIGACIÓ SANITÀRIA PERE VIRGILI IISPV   (Spain)

^b INSTITUTO DE SALUD CARLOS III   (Spain)

^c UNIVERSITY OF NAVARRA   (Spain)

^d UNIVERSITY OF VALENCIA   (Spain)

^e UNIVERSITY OF BARCELONA   (Spain)

^f Barcelona Biomedical Research Park   (Spain)

^g HOSPITAL TXAGORRITXU   (Spain)

^h UNIVERSITY OF MÁLAGA   (Spain)

ⁱ UNIVERSITAT DE LES ILLES BALEARS   (Spain)

^j San Pablo Health Center   (Spain)

^k INSTITUT CATALÀ DE LA SALUT   (Spain)

^l UNIVERSITY OF LAS PALMAS DE GRAN CANARIA   (Spain)

^m HOSPITAL UNIVERSITARI DE BELLVITGE   (Spain)

more..

Author keywords

[No Author keywords available]

Indexed keywords

GLUCOSE;

ABDOMINAL OBESITY; ADULT; AGED; ANTHROPOMETRIC PARAMETERS; ANTHROPOMETRY; ARTICLE; BODY MASS; BODY WEIGHT; CARDIOVASCULAR RISK; CROSS-SECTIONAL STUDY; DISEASE ASSOCIATION; DYSLIPIDEMIA; FEMALE; GLUCOSE BLOOD LEVEL; HIGH RISK POPULATION; HUMAN; HYPERGLYCEMIA; MAJOR CLINICAL STUDY; MALE; METABOLIC SYNDROME X; NON INSULIN DEPENDENT DIABETES MELLITUS; OUTCOME ASSESSMENT; PREDICTIVE VALUE; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; WAIST CIRCUMFERENCE; WAIST TO HEIGHT RATIO;

AGED; AGED, 80 AND OVER; ANTHROPOMETRY; BODY CONSTITUTION; BODY HEIGHT; BODY MASS INDEX; CARDIOVASCULAR DISEASES; CROSS-SECTIONAL STUDIES; DIABETES MELLITUS, TYPE 2; FEMALE; HUMANS; MALE; MIDDLE AGED; OBESITY, ABDOMINAL; ODDS RATIO; REGRESSION ANALYSIS; RISK; RISK FACTORS; SPAIN; WAIST CIRCUMFERENCE;

EID: 84865057699     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0043275     Document Type: Article

References (29)

1. Klein S, Sheard NF, Pi-Sunyer X, Daly A, Wylie-Rosett J, et al. (2004) Weight management through lifestyle modification for the prevention and management of type 2 diabetes: rationale and strategies. A statement of the American Diabetes Association, the North American Association for the Study of Obesity, and the American Society for Clinical Nutrition. Am J Clin Nutr 80: 257-263.
2. Visscher TL, Seidell JC, (2001) The public health impact of obesity. Annu Rev Public Health 22: 355-375.
3. Guh DP, Zhang W, Bansback N, Amarsi Z, Birmingham CL, et al. (2009) The incidence of co-morbidities related to obesity and overweight: a systematic review and meta-analysis. BMC Public Health 9: 88.
4. Pi-Sunyer FX, (2000) Obesity: criteria and classification. Proc Nutr Soc 59: 505-509.
5. Carr MC, Brunzell JD, (2004) Abdominal obesity and dyslipidemia in the metabolic syndrome: importance of type 2 diabetes and familial combined hyperlipidemia in coronary artery disease risk. J Clin Endocrinol Metab 89: 2601-2607.
6. Schneider HJ, Klotsche J, Silber S, Stalla GK, Wittchen HU, (2011) Measuring abdominal obesity: effects of height on distribution of cardiometabolic risk factors risk using waist circumference and waist-to-height ratio. Diabetes Care 34: e7.
7. Lee CM, Huxley RR, Wildman RP, Woodward M, (2008) Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI: a meta-analysis. J Clin Epidemiol 61: 646-653.
8. Ashwell M, Gunn P, Gibson S, (2012) Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta-analysis. Obes Rev 13: 275-286.
9. Soto Gonzalez A, Bellido D, Buño MM, Pértega S, De Luis D, et al. (2007) Predictors of the metabolic syndrome and correlation with computed axial tomography. Nutrition 23: 36-45.
10. Browning LM, Hsieh SD, Ashwell M, (2010) A systematic review of waist-to-height ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0.5 could be a suitable global boundary value. Nutr Res Rev 23: 247-269.
11. Mombelli G, Zanaboni AM, Gaito S, Sirtori CR, (2009) Waist-to-height ratio is a highly sensitive index for the metabolic syndrome in a Mediterranean population. Metab Syndr Relat Disord 7: 477-484.
12. Bertsias G, Mammas I, Linardakis M, Kafatos A, (2003) Overweight and obesity in relation to cardiovascular disease risk factors among medical students in Crete, Greece. BMC Public Health 3: 3.
13. Cristo Rodriguez Perez MD, Cabrera De Leon A, Aguirre-Jaime A, Domínguez Coello S, Brito Díaz B, et al. (2010) The waist to height ratio as an index of cardiovascular risk and diabetes. Med Clin (Barc) 134: 386-391.
14. Martinez-Gonzalez MA, Corella D, Salas-Salvado J, Ros E, Covas MI, et al. (2012) Cohort Profile: design and methods of the PREDIMED study. Int J Epidemiol 41(2): 377-85.
15. Fernandez-Ballart JD, Piñol JL, Zazpe I, Corella D, Carrasco P, et al. (2010) Relative validity of a semi-quantitative food-frequency questionnaire in an elderly Mediterranean population of Spain. Br J Nutr 103: 1808-1816.
16. Elosua R, Marrugat J, Molina L, Pons S, Pujol E, (1994) Validation of the Minnesota Leisure Time Physical Activity Questionnaire in Spanish men. The MARATHOM Investigators. Am J Epidemiol 139: 1197-1209.
17. Alberti KG, Zimmet PZ, (1998) Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med 15: 539-553.
18. World Health Organization WHO Definition and Diagnosis of Diabetes Mellitus and Intermediate Hyperglycemia. 1-46. Report of a WHO/IDF Consultation Available at http://www.who.int. Geneva: World Health Organization; 2006.
19. Alberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, et al. (2009) Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 120: 1640-1645.
20. DeLong ER, DeLong DM, Clarke-Pearson DL, (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44: 837-845.
21. Schulze MB, Heidemann C, Schienkiewitz A, Bergmann MM, Hoffmann K, et al. (2006) Comparison of anthropometric characteristics in predicting the incidence of type 2 diabetes in the EPIC-Potsdam study. Diabetes Care 29: 1921-1923.
22. Schneider HJ, Glaesmer H, Klotsche J, Böhler S, Lehnert H, et al. (2007) Accuracy of anthropometric indicators of obesity to predict cardiovascular risk. J Clin Endocrinol Metab 92: 589-594.
23. Ashwell M, Hsieh SD, (2005) Six reasons why the waist-to-height ratio is a rapid and effective global indicator for health risks of obesity and how its use could simplify the international public health message on obesity. Int J Food Sci Nutr 56: 303-307.
24. Langenberg C, Shipley MJ, Batty GD, Marmot MG, (2005) Adult socioeconomic position and the association between height and coronary heart disease mortality: findings from 33 years of follow-up in the Whitehall Study. Am J Public Health 95: 628-632.
25. Dong X, Liu Y, Yang J, Sun Y, Chen L, (2011) Efficiency of anthropometric indicators of obesity for identifying cardiovascular risk factors in a Chinese population. Postgrad Med J 87: 251-256.
26. Esmaillzadeh A, Mirmiran P, Azizi F, (2006) Comparative evaluation of anthropometric measures to predict cardiovascular risk factors in Tehranian adult women. Public Health Nutr 9: 61-69.
27. Hadaegh F, Zabetian A, Harati H, Azizi F, (2006) Waist/height ratio as a better predictor of type 2 diabetes compared to body mass index in Tehranian adult men-a 3.6-year prospective study. Exp Clin Endocrinol Diabetes 114: 310-315.
28. Hsieh SD, Muto T, (2006) Metabolic syndrome in Japanese men and women with special reference to the anthropometric criteria for the assessment of obesity: Proposal to use the waist-to-height ratio. Prev Med 42: 135-139.
29. Li M, McDermott RA, (2010) Using anthropometric indices to predict cardio-metabolic risk factors in Australian indigenous populations. Diabetes Res Clin Pract 87: 401-406.