2008•PubMedRequires access

Comparisons between anthropometric indices for predicting the metabolic syndrome in Japanese.

Masayuki Kato, Yoshihiko Takahashi, Manami Inoue, Shoichiro Tsugane, Takashi Kadowaki, Mitsuhiko Noda

Open publisher page 20 citations

Abstract

AIMS: Most definitions of the metabolic syndrome (MS) employ waist circumference as an indicator of central obesity. However, several reports, mainly from Asia, argue that other indices, for example the waist/height ratio, are superior to waist circumference for identifying subjects with cardiovascular risk factors. We therefore investigated correlations between the predictive power of several anthropometric indices and risk factor accumulation (RFA) defined by the existence of two or more disorders among hypertension, dyslipidemia (high triglycerides and/or low levels of high density lipoprotein cholesterol) and fasting hyperglycemia; each of which is a component of MS. METHODS: We conducted a cross-sectional analysis using data from a part of the Japan Public Health Center-based Cohort. A total of 315 men and 314 women, 51 to 70 years of age were examined for variables including waist and hip circumferences, blood pressure, fasting plasma glucose and lipids at an annual health check-up. RESULTS: The prevalence of RFA increased almost linearly in parallel with increasing waist circumference up to 95 cm. Receiver operating characteristic analysis demonstrated that waist circumference was better than waist/ height ratio, waist/hip ratio and BMI at predicting RFA; but the differences were not statistically significant. However, even in the case of waist circumference, no clear cut-off point yields sufficiently high sensitivity and specificity simultaneously. CONCLUSIONS: The predictive power of waist circumference was not inferior to those of other indices. Therefore, waist circumference is practically the most convenient measure for predicting MS because of its simplicity.

About this research paper

What this paper is about

AIMS: Most definitions of the metabolic syndrome (MS) employ waist circumference as an indicator of central obesity. However, several reports, mainly from Asia, argue that other indices, for example the waist/height ratio, are superior to waist circumference for identifying subjects with cardiovascular risk factors. We therefore investigated correlations between the predictive power of several anthropometric indices and risk factor accumulation (RFA) defined by the existence of two or more disorders among hypertension, dyslipidemia (high triglycerides and/or low levels of high density lipoprotein cholesterol) and fasting hyperglycemia; each of which is a component of MS. METHODS: We conducted a cross-sectional analysis using data from a part of the Japan Public Health Center-based Cohort. A total of 315 men and 314 women, 51 to 70 years of age were examined for variables including waist and hip circumferences, blood pressure, fasting plasma glucose and lipids at an annual health check-up. RESULTS: The prevalence of RFA increased almost linearly in parallel with increasing waist circumference up to 95 cm. Receiver operating characteristic analysis demonstrated that waist circumference was better than waist/ height ratio, waist/hip ratio and BMI at predicting RFA; but the differences were not statistically significant. However, even in the case of waist circumference, no clear cut-off point yields sufficiently high sensitivity and specificity simultaneously. CONCLUSIONS: The predictive power of waist circumference was not inferior to those of other indices. Therefore, waist circumference is practically the most convenient measure for predicting MS because of its simplicity.

Why it matters

OpenAlex reports 20 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

AIMS: Most definitions of the metabolic syndrome (MS) employ waist circumference as an indicator of central obesity. However, several reports, mainly from Asia, argue that other indices, for example the waist/height ratio, are superior to waist circumference for identifying subjects with cardiovascular risk factors. We therefore investigated correlations between the predictive power of several anthropometric indices and risk factor accumulation (RFA) defined by the existence of two or more disorders among hypertension, dyslipidemia (high triglycerides and/or low levels of high density lipoprotein cholesterol) and fasting hyperglycemia; each of which is a component of MS. METHODS: We conducted a cross-sectional analysis using data from a part of the Japan Public Health Center-based Cohort. A total of 315 men and 314 women, 51 to 70 years of age were examined for variables including waist and hip circumferences, blood pressure, fasting plasma glucose and lipids at an annual health check-up. RESULTS: The prevalence of RFA increased almost linearly in parallel with increasing waist circumference up to 95 cm. Receiver operating characteristic analysis demonstrated that waist circumference was better than waist/ height ratio, waist/hip ratio and BMI at predicting RFA; but the differences were not statistically significant. However, even in the case of waist circumference, no clear cut-off point yields sufficiently high sensitivity and specificity simultaneously. CONCLUSIONS: The predictive power of waist circumference was not inferior to those of other indices. Therefore, waist circumference is practically the most convenient measure for predicting MS because of its simplicity.

Key concepts: Waist, Circumference, Medicine, Dyslipidemia, Metabolic syndrome, Anthropometry, Waist-to-height ratio, Internal medicine

Related papers

Back to paper searchBrowse research topicsOriginal source
Comparisons between anthropometric indices for predicting the metabolic syndrome in Japanese. — Research Paper | ScholarLens