Anthropometric indices and their relationship with cardiometabolic risk factors in a sample of Turkish adults

被引:38
|
作者
Can, Ahmet Selcuk [1 ]
Bersot, Thomas P. [2 ,3 ]
Goenen, Mithat [4 ]
机构
[1] Istanbul Sci Univ, Fac Med, Dept Med, TR-34394 Istanbul, Turkey
[2] Univ Calif San Francisco, San Francisco, CA 94143 USA
[3] Gladstone Inst Cardiovasc Dis, San Francisco, CA USA
[4] Mem Sloan Kettering Canc Ctr, Dept Epidemiol & Biostat, New York, NY 10021 USA
关键词
Anthropometry; Waistheight ratio; Cardiovascular risk factors; BODY-MASS INDEX; CORONARY-HEART-DISEASE; ALL-CAUSE MORTALITY; WAIST-HIP RATIO; VISCERAL ADIPOSE-TISSUE; METABOLIC SYNDROME; CARDIOVASCULAR RISK; THIGH CIRCUMFERENCES; CHOLESTEROL LEVELS; ARTERY-DISEASE;
D O I
10.1017/S1368980008002474
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Objective: To identify the best anthropometric index that predicts cardiometabolic risk factors. Design and setting: Cross-sectional study in Turkey, in 2003. Subjects: Turkish men and women aged 18 years and over (n 1692) were examined. Body weight, height, waist and hip circumferences, blood pressure, total cholesterol, HDL cholesterol, TAG, glucose and insulin were measured. Metabolic syndrome score was calculated as the sum of modified National Cholesterol Education Program Adult Treatment Panel III criteria, excluding waist circumference. Insulin resistance was estimated by homeostasis model assessment (HOMA-IR). Results: BMI, waist:hip ratio (WHpR), waist:height ratio (WHtR), waist circumference (WC) and hip circumference (HQ were significantly correlated with each other. Partial correlation coefficients between systolic blood pressure, HDL cholesterol, TAG levels or HOMA-IR and BMI, WC or WHtR were similar and higher than correlation coefficients of WHpR and HC. The association of anthropometric indices with metabolic syndrome score and Framingham risk score was highest for WHtR. Areas under the receiver-operating characteristic curves showed that WHtR was the best anthropometric index that discriminated between the presence and absence of hypertension, diabetes and metabolic syndrome, whereas WHpR was better for dyslipidaemia. Conclusions: WHtR was the best anthropometric index for predicting most cardionietabolic risk factors. WC and BMI ranked second for their predictive capability of cardiometabolic risk, followed by WHpR and HC.
引用
收藏
页码:538 / 546
页数:9
相关论文
共 50 条
  • [31] Utility of anthropometric indicators to screen for clustered cardiometabolic risk factors in children and adolescents
    Bianchini de Quadros, Teresa Maria
    Gordia, Alex Pinheiro
    Ribeiro Andaki, Alynne Christian
    Mendes, Edmar Lacerda
    Mota, Jorge
    Silva, Luciana Rodrigues
    JOURNAL OF PEDIATRIC ENDOCRINOLOGY & METABOLISM, 2019, 32 (01) : 49 - 55
  • [32] Anthropometric Indices of Obesity and the Prediction of Cardiovascular Risk Factors in an Iranian Population
    Azimi-Nezhad, Mohsen
    Ghayour-Mobarhan, Majid
    Safarian, Mohammad
    Esmailee, Habibollah
    Parizadeh, Seyed Mohammad Reza
    Rajabi-Moghadam, Maryam
    Gholami, Arezoo
    Oladi, Mohammad Reza
    Ferns, Gordon A.
    THESCIENTIFICWORLDJOURNAL, 2009, 9 : 424 - 430
  • [33] Anthropometric indices as screening tools for cardiovascular risk factors in Singaporean women
    Pua, YH
    Ong, PH
    ASIA PACIFIC JOURNAL OF CLINICAL NUTRITION, 2005, 14 (01) : 74 - 79
  • [34] Influence of waist circumference measurement site on the cardiometabolic risk factors in Korean adults
    Kim, Yejin
    Kuk, Jennifer L.
    Park, Kyung Hee
    Lee, Sojung
    OBESITY RESEARCH & CLINICAL PRACTICE, 2025, 19 (01) : 28 - 33
  • [35] Four anthropometric indices and cardiovascular risk factors in Taiwan
    K-C Huang
    W-Y Lin
    L-T Lee
    C-Y Chen
    H Lo
    H-H Hsia
    I-L Liu
    W-Y Shau
    R-S Lin
    International Journal of Obesity, 2002, 26 : 1060 - 1068
  • [36] Relationship of cardiometabolic disease risk factors with age and spinal cord injury duration
    Mercier, Hannah W.
    Solinsky, Ryan
    Taylor, J. Andrew
    JOURNAL OF SPINAL CORD MEDICINE, 2024, 47 (03) : 379 - 386
  • [37] Anthropometric indices of school children and familiar risk factors
    Giampietro, O
    Virgone, E
    Carneglia, L
    Griesi, E
    Calvi, D
    Matteucci, E
    PREVENTIVE MEDICINE, 2002, 35 (05) : 492 - 498
  • [38] Cut-off values of anthropometric indices to determine insulin resistance in Pakistani adults
    Nadeem, Amina
    Naveed, Abdul Khaliq
    Hussain, Muhammad Mazhar
    Raza, Syed Irfan
    JOURNAL OF THE PAKISTAN MEDICAL ASSOCIATION, 2013, 63 (10) : 1220 - 1225
  • [39] Four anthropometric indices and cardiovascular risk factors in Taiwan
    Huang, KC
    Lin, WY
    Lee, LT
    Chen, CY
    Lo, H
    Hsia, HH
    Liu, IL
    Shau, WY
    Lin, RS
    INTERNATIONAL JOURNAL OF OBESITY, 2002, 26 (08) : 1060 - 1068
  • [40] Cardiometabolic and behavioural risk factors in young overweight women identified with simple anthropometric measures
    Share, Bianca L.
    Naughton, Geraldine A.
    Obert, Philippe
    Peat, Jennifer K.
    Kemp, Justin G.
    JOURNAL OF SCIENCE AND MEDICINE IN SPORT, 2014, 17 (06) : 656 - 661