Optimal waist circumference cut-off values for predicting cardiovascular risk factors in a multi-ethnic Malaysian population

被引:13
|
作者
Cheong, Kee C. [1 ]
Ghazali, Sumarni M. [1 ]
Hock, Lim K. [2 ]
Yusoff, Ahmad F. [1 ]
Selvarajah, Sharmini [3 ]
Haniff, Jamaiyah [3 ]
Zainuddin, Ahmad Ali [2 ]
Ying, Chan Y. [2 ]
Lin, Khor G. [4 ]
Rahman, Jamalludin A. [5 ]
Shahar, Suzana [6 ]
Mustafa, Amal N. [1 ]
机构
[1] Inst Med Res, Kuala Lumpur 50588, Malaysia
[2] Inst Publ Hlth, Minist Hlth, Kuala Lumpur, Malaysia
[3] Clin Res Ctr, Minist Hlth, Kuala Lumpur, Malaysia
[4] Int Med Univ, Buki Jalil, Malaysia
[5] Int Islamic Univ, Selayang, Malaysia
[6] Univ Kebangsaan Malaysia, Bangi 43600, Malaysia
关键词
Waist circumference; Optimal cut-off; Cardiovascular risk factors; Maiaysian population; BODY-MASS INDEX; ABDOMINAL OBESITY; METABOLIC SYNDROME; ETHNIC-GROUPS; HIP RATIO; POINTS; ADULTS; CRITERIA; DISEASE; ASIANS;
D O I
10.1016/j.orcp.2013.03.004
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction: Previous studies have proposed the lower waist circumference (WC) cutoffs be used for defining abdominal obesity in Asian populations. Objective: To determine the optimal cut-offs of waist circumference (WC) in predicting cardiovascular (CV) risk factors in the multi-ethnic Malaysian population. Methods: We analysed data from 32,703 respondents (14,980 men and 17,723 women) aged 18 years and above who participated in the Third National Health and Morbidity Survey in 2006. Gender-specific logistic regression analyses were used to examine associations between WC and three CV risk factors (diabetes mellitus, hypertension, and hypercholesterolemia). The Receiver Operating Characteristic (ROC) curves were used to determine the cut-off values of WC with optimum sensitivity and specificity for detecting these CV risk factors. Results: The odds ratio for having diabetes mellitus, hypertension, and hypercholesterolemia, or at least one of these risks, increased significantly as the WC cut-off point increased. Optimal WC cut-off values for predicting the presence of diabetes mellitus, hypertension, hypercholesterolemia and at least one of the three CV risk factors varied from 81.4 to 85.5 cm for men and 79.8 to 80.7 cm for women. Conclusions: Our findings indicate that WC cut-offs of 81 cm for men and 80 cm for women are appropriate for defining abdominal obesity and for recommendation to undergo cardiovascular risk screening and weight management in the Malaysian adult population. 2013 Asian Oceanian Association for the Study of Obesity. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:E154 / E162
页数:9
相关论文
共 50 条
  • [21] Waist circumference cut-off values for the prediction of cardiovascular risk factors clustering in Chinese school-aged children: a cross-sectional study
    Liu, Ailing
    Hills, Andrew P.
    Hu, Xiaoqi
    Li, Yanping
    Du, Lin
    Xu, Ying
    Byrne, Nuala M.
    Ma, Guansheng
    BMC PUBLIC HEALTH, 2010, 10
  • [22] Optimal waist:height ratio cut-off point for cardiometabolic risk factors in Turkish adults
    Can, Ahmet Selcuk
    Yildiz, Emine Akal
    Samur, Guelhan
    Rakicioglu, Neslisah
    Pekcan, Guelden
    Ozbayrakci, Sinan
    Palaoglu, K. Erhan
    Gonen, Mithat
    Bersot, Thomas P.
    PUBLIC HEALTH NUTRITION, 2010, 13 (04) : 488 - 495
  • [23] Proposed cut-off values of the waist circumference for metabolic syndrome based on visceral fat volume in a Japanese population
    Tsukiyama, Hidekazu
    Nagai, Yoshio
    Matsubara, Fumiaki
    Shimizu, Hiroyuki
    Iwamoto, Teruaki
    Yamanouchi, Eigoro
    Sada, Yukiyoshi
    Kato, Hiroyuki
    Ohta, Akio
    Tanaka, Yasushi
    JOURNAL OF DIABETES INVESTIGATION, 2016, 7 (04) : 587 - 593
  • [24] Waist circumference measurement: knowledge, attitudes and barriers in patients and practitioners in a multi-ethnic population
    Dunkley, Alison J.
    Stone, Margaret A.
    Patel, Naina
    Davies, Melanie J.
    Khunti, Kamlesh
    FAMILY PRACTICE, 2009, 26 (05) : 365 - 371
  • [25] Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults: study on optimal cut-off points of body mass index and waist circumference in Chinese adults
    Zhou, BF
    ASIA PACIFIC JOURNAL OF CLINICAL NUTRITION, 2002, 11 : S685 - S693
  • [26] Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults: study on optimal cut-off points of body mass index and waist circumference in Chinese adults
    Bei-Fan, Z
    ASIA PACIFIC JOURNAL OF CLINICAL NUTRITION, 2002, 11 : S685 - S693
  • [27] Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults: study on optimal cut-off points of body mass index and waist circumference in Chinese adults
    Zhou, BF
    ASIA PACIFIC JOURNAL OF CLINICAL NUTRITION, 2002, 11 : S685 - S693
  • [28] Waist circumference and BMI cut-off points to predict risk factors for metabolic syndrome among outpatients in a district hospital
    Aye, Mra
    Sazali, Malek
    SINGAPORE MEDICAL JOURNAL, 2012, 53 (08) : 545 - 550
  • [29] Optimal waist circumference cut-off points and ability of different metabolic syndrome criteria for predicting diabetes in Japanese men and women: Japan Epidemiology Collaboration on Occupational Health Study
    Hu, Huanhuan
    Kurotani, Kayo
    Sasaki, Naoko
    Murakami, Taizo
    Shimizu, Chii
    Shimizu, Makiko
    Nakagawa, Tohru
    Honda, Toru
    Yamamoto, Shuichiro
    Okazaki, Hiroko
    Nagahama, Satsue
    Uehara, Akihiko
    Yamamoto, Makoto
    Tomita, Kentaro
    Imai, Teppei
    Nishihara, Akiko
    Kochi, Takeshi
    Eguchi, Masafumi
    Miyamoto, Toshiaki
    Hori, Ai
    Kuwahara, Keisuke
    Akter, Shamima
    Kashino, Ikuko
    Kabe, Isamu
    Liu, Weiping
    Mizoue, Tetsuya
    Kunugita, Naoki
    Dohi, Seitaro
    BMC PUBLIC HEALTH, 2016, 16
  • [30] Waist circumference cut-off values for the prediction of cardiovascular risk factors clustering in Chinese school-aged children: a cross-sectional study
    Ailing Liu
    Andrew P Hills
    Xiaoqi Hu
    Yanping Li
    Lin Du
    Ying Xu
    Nuala M Byrne
    Guansheng Ma
    BMC Public Health, 10