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Can body mass index, waist circumference, waist-hip ratio and waist-height ratio predict the presence of multiple metabolic risk factors in Chinese subjects?
Liu, Yong; Tong, Guanghui; Tong, Weiwei; Lu, Liping; Qin, Xiaosong.
Afiliação
  • Liu Y; Clinical laboratory, Shengjing Hospital of China Medical University, Shenyang 110004, PR China. Liuy@sj-hospital.org
BMC Public Health ; 11: 35, 2011 Jan 13.
Article em En | MEDLINE | ID: mdl-21226967
ABSTRACT

BACKGROUND:

Obesity is associated with metabolic risk factors. Body mass index (BMI), waist circumference, waist-hip ratio (WHR) and waist-height ratio (WHtR) are used to predict the risk of obesity related diseases. However, it has not been examined whether these four indicators can detect the clustering of metabolic risk factors in Chinese subjects.

METHODS:

There are 772 Chinese subjects in the present study. Metabolic risk factors including high blood pressure, dyslipidemia, and glucose intolerance were identified according to the criteria from WHO. All statistical analyses were performed separately according to sex by using the SPSS 12.0.

RESULTS:

BMI, waist circumference and WHtR values were all significantly associated with blood pressure, glucose, triglyceride and also with the number of metabolic risk factors in both male and female subjects (all of P < 0.05). According to receiver operating characteristic (ROC) analysis, the area under curve values of BMI, waist circumference and WHtR did not differ in male (0.682 vs. 0.661 vs. 0.651) and female (0.702 vs. 0.671 vs. 0.674) subjects, indicating that the three values could be useful in detecting the occurrence of multiple metabolic risk factors. The appropriate cut-off values of BMI, waist circumference and WHtR to predict the presence of multiple metabolic risk factors were 22.85 and 23.30 kg/m² in males and females, respectively. Those of waist circumference and WHtR were 91.3 cm and 87.1 cm, 0.51 and 0.53 in males and females, respectively.

CONCLUSION:

The BMI, waist circumference and WHtR values can similarly predict the presence of multiple metabolic risk factors in Chinese subjects.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Índice de Massa Corporal / Síndrome Metabólica / Relação Cintura-Quadril / Circunferência da Cintura / Obesidade Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged País/Região como assunto: Asia Idioma: En Revista: BMC Public Health Assunto da revista: SAUDE PUBLICA Ano de publicação: 2011 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Índice de Massa Corporal / Síndrome Metabólica / Relação Cintura-Quadril / Circunferência da Cintura / Obesidade Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged País/Região como assunto: Asia Idioma: En Revista: BMC Public Health Assunto da revista: SAUDE PUBLICA Ano de publicação: 2011 Tipo de documento: Article