Optimal anthropometric factor cutoffs for hyperglycemia, hypertension and dyslipidemia for the Taiwanese population

Chin Hsiao Tseng, Choon Khim Chong, Ting Ting Chan, Chyi Huey Bai, San Lin You, Hung Yi Chiou, Ta Chen Su, Chien Jen Chen

Research output: Contribution to journalArticle

42 Citations (Scopus)

Abstract

Background: Optimal cutoffs for obesity indices are rarely studied in Asians. We evaluated these cutoffs for diabetes, hypertension, dyslipidemia and any risk factor for the Taiwanese general population. Methods: Body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), waist-height ratio (WHeiR) and other data for 4683 (2280 men and 2403 women) participants of the population-based Taiwanese Survey on Hypertension, Hyperglycemia and Hyperlipidemia were used. Areas under curves (AUCs) were analyzed and optimal cutoffs were estimated by maximizing the sums of sensitivity and specificity. Potential confounders included age, smoking, alcohol, betel nut chewing and exercise. Results: Optimal cutoffs for men and women, respectively, were 23.7-26.3 and 22.1-23.2kg/m2 for BMI; 85.0-87.0 and 74.0-83.0cm for WC; 0.87-0.90 and 0.78-0.83 for WHR; and 0.48-0.52 and 0.48-0.52 for WHeiR. AUCs were not significantly different among the indices for diabetes in men and for hypertension in women. In men, WHR was significantly inferior to the other indices for predicting hypertension, dyslipidemia and any risk factor. In women, BMI was significantly inferior to the others for diabetes. For dyslipidemia and any risk factor in women, WHeiR showed the largest AUCs and significant differences were seen in the following pairs: WHeiR vs. BMI and WHeiR vs. WHR for dyslipidemia and WC vs. WHR and WHeiR vs. WHR for any risk factor. Conclusions: WC and WHeiR have similar efficacy and are superior to BMI and WHR. However, WHeiR has the extra benefit of a unisex cutoff within a narrow range.

Original languageEnglish
Pages (from-to)585-589
Number of pages5
JournalAtherosclerosis
Volume210
Issue number2
DOIs
Publication statusPublished - Jun 2010

Fingerprint

Waist-Hip Ratio
Dyslipidemias
Hyperglycemia
Hypertension
Waist Circumference
Body Mass Index
Population
Area Under Curve
Areca
Waist-Height Ratio
Mastication
Hyperlipidemias
Obesity
Smoking
Alcohols
Exercise
Sensitivity and Specificity

Keywords

  • Anthropometric factor
  • Diabetes
  • Dyslipidemia
  • Hypertension
  • Obesity

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

Cite this

Optimal anthropometric factor cutoffs for hyperglycemia, hypertension and dyslipidemia for the Taiwanese population. / Tseng, Chin Hsiao; Chong, Choon Khim; Chan, Ting Ting; Bai, Chyi Huey; You, San Lin; Chiou, Hung Yi; Su, Ta Chen; Chen, Chien Jen.

In: Atherosclerosis, Vol. 210, No. 2, 06.2010, p. 585-589.

Research output: Contribution to journalArticle

Tseng, Chin Hsiao ; Chong, Choon Khim ; Chan, Ting Ting ; Bai, Chyi Huey ; You, San Lin ; Chiou, Hung Yi ; Su, Ta Chen ; Chen, Chien Jen. / Optimal anthropometric factor cutoffs for hyperglycemia, hypertension and dyslipidemia for the Taiwanese population. In: Atherosclerosis. 2010 ; Vol. 210, No. 2. pp. 585-589.
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AU - Bai, Chyi Huey

AU - You, San Lin

AU - Chiou, Hung Yi

AU - Su, Ta Chen

AU - Chen, Chien Jen

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AB - Background: Optimal cutoffs for obesity indices are rarely studied in Asians. We evaluated these cutoffs for diabetes, hypertension, dyslipidemia and any risk factor for the Taiwanese general population. Methods: Body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), waist-height ratio (WHeiR) and other data for 4683 (2280 men and 2403 women) participants of the population-based Taiwanese Survey on Hypertension, Hyperglycemia and Hyperlipidemia were used. Areas under curves (AUCs) were analyzed and optimal cutoffs were estimated by maximizing the sums of sensitivity and specificity. Potential confounders included age, smoking, alcohol, betel nut chewing and exercise. Results: Optimal cutoffs for men and women, respectively, were 23.7-26.3 and 22.1-23.2kg/m2 for BMI; 85.0-87.0 and 74.0-83.0cm for WC; 0.87-0.90 and 0.78-0.83 for WHR; and 0.48-0.52 and 0.48-0.52 for WHeiR. AUCs were not significantly different among the indices for diabetes in men and for hypertension in women. In men, WHR was significantly inferior to the other indices for predicting hypertension, dyslipidemia and any risk factor. In women, BMI was significantly inferior to the others for diabetes. For dyslipidemia and any risk factor in women, WHeiR showed the largest AUCs and significant differences were seen in the following pairs: WHeiR vs. BMI and WHeiR vs. WHR for dyslipidemia and WC vs. WHR and WHeiR vs. WHR for any risk factor. Conclusions: WC and WHeiR have similar efficacy and are superior to BMI and WHR. However, WHeiR has the extra benefit of a unisex cutoff within a narrow range.

KW - Anthropometric factor

KW - Diabetes

KW - Dyslipidemia

KW - Hypertension

KW - Obesity

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