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Predictive value of obesity measurement index for H-type hypertension / 中国医师杂志
Journal of Chinese Physician ; (12): 668-671,676, 2019.
Article en Zh | WPRIM | ID: wpr-754207
Biblioteca responsable: WPRO
ABSTRACT
Objective By investigating the obesity of the adult population in Hunan,we explored the relationship between body mass index (BMI) [including waist circumference (WC),waist-to-hip ratio (WHR),waist-to-body ratio (WHtR) and H-type hypertension] in predicting H-type hypertension.Methods A multi-stage random sampling method was used to conduct a questionnaire survey,physical examination and laboratory testing on 4 012 adults > 30 years old in 6 districts of Hunan Province.The receiver operator characteristic (ROC) curve was used to evaluate the predictive effects of BMI,WC,WHR and WHtR on H-type hypertension.Results ROC curve analysis indicated that the area under curve (AUC) of the evaluation of H-type hypertension of WC,WHtR,WHR and BMI in men were:0.637,0.640,0.601,0.639,of which the largest were combination of WC + BMI and WHtR + BMI,both being 0.647.In women,the AUC of individual indexes WC,WHtR,WHR and BMI for evaluating H-type hypertension were 0.660,0.670,0.660 and 0.604 respectively.The combination of WHtR and WHR had the largest AUC,which was 0.675.The WC for evaluating H-type hypertension in youth people had the largest AUC (0.732);the WC + BMI,WHR + BMI for evaluating H-type hypertension in middle-aged people had the largest AUC,all being 0.687;the WC predicted the largest AUC of H-type hypertension in elderly people (0.590).Conclusions WC,WHtR,WHR and BMI are important predictors of H-type hypertension.The optimal indicators for different genders and ages are different,and the combined indicators are better than the individual indicators.
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Texto completo: 1 Índice: WPRIM Tipo de estudio: Prognostic_studies Idioma: Zh Revista: Journal of Chinese Physician Año: 2019 Tipo del documento: Article
Texto completo: 1 Índice: WPRIM Tipo de estudio: Prognostic_studies Idioma: Zh Revista: Journal of Chinese Physician Año: 2019 Tipo del documento: Article