Literature DB >> 31066847

Waist-to-height ratio and the conicity index are associated to cardiometabolic risk factors in the elderly population.

Luana Cupertino Milagres1, Karina Oliveira Martinho2, Diana Cupertino Milagres3, Fernanda Silva Franco4, Andréia Queiroz Ribeiro1, Juliana Farias de Novaes1.   

Abstract

The purpose of this study was to determine and compare a magnitude of the association between anthropometric indicators with risk of cardiometabolic risk in the elderly. This is a cross-sectional study with 402 elderly people attended by the Family Health Strategy in the city of Viçosa-MG. Risk factors for excess body fat, hypertension, blood glucose and serum lipid changes. An association between conicity index (CI) and waist-to-height ratio (WtHR) with cardiometabolic risk factors was assessed by multiple linear regression analysis. Sample was composed of 60.4% of women and 36.3% of overweight elderly. The connectivity index and a waist-to-height ratio were higher in 57.2% and 88.1% in the elderly, respectively. The results showed that the increase in body fat, diastolic blood pressure, triglycerides, glycemia and reduction of HDL-cholesterol are related to higher values of anthropometric indices evaluated. However, the waist-to-height ratio presented a greater magnitude of association with the cardiometabolic risk factors than the connectivity index.

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Year:  2019        PMID: 31066847     DOI: 10.1590/1413-81232018244.12632017

Source DB:  PubMed          Journal:  Cien Saude Colet        ISSN: 1413-8123


  4 in total

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Authors:  Yuki Shimotake; Etongola P Mbelambela; Sifa Mj Muchanga; Antonio F Villanueva; Sok Seng Yan; Marina Minami; Rie Shimomoto; Ambis Joelle Lumaya; Narufumi Suganuma
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4.  From Young to Older, the 4 Phases Method Is Efficient in Promoting Quick Weight, BMI, and Waist Circumference Reductions.

Authors:  Edson Ramuth; Sylvia Ramuth; Tamaris R R Pavão; Kimberlly B Biacchi; Andre L L Bachi
Journal:  Healthcare (Basel)       Date:  2022-07-27
  4 in total

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