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Predictive value of relative fat mass algorithm for incident hypertension: a 6-year prospective study in Chinese population

OBJECTIVES: Individuals with obesity especially excessive visceral adiposity have high risk for incident hypertension. Recently, a new algorithm named relative fat mass (RFM) was introduced to define obesity. Our aim was to investigate whether it can predict hypertension in Chinese population and to...

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Autores principales: Yu, Peng, Huang, Teng, Hu, Senlin, Yu, Xuefeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7569915/
https://www.ncbi.nlm.nih.gov/pubmed/33067286
http://dx.doi.org/10.1136/bmjopen-2020-038420
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author Yu, Peng
Huang, Teng
Hu, Senlin
Yu, Xuefeng
author_facet Yu, Peng
Huang, Teng
Hu, Senlin
Yu, Xuefeng
author_sort Yu, Peng
collection PubMed
description OBJECTIVES: Individuals with obesity especially excessive visceral adiposity have high risk for incident hypertension. Recently, a new algorithm named relative fat mass (RFM) was introduced to define obesity. Our aim was to investigate whether it can predict hypertension in Chinese population and to compare its predictive power with traditional indices including body mass index (BMI), waist circumference (WC) and waist-to-height ratio (WHtR). DESIGN: A 6-year prospective study. SETTING: Nine provinces (Hei Long Jiang, Liao Ning, Jiang Su, Shan Dong, He Nan, Hu Bei, Hu Nan, Guang Xi and Gui Zhou) in China. PARTICIPANTS: Those without hypertension in 2009 survey and respond in 2015 survey. INTERVENTION: Logistic regression were performed to investigate the association between RFM and incident hypertension. Receiver operating characteristic (ROC) analysis was performed to compare the predictive ability of these indices and define their optimal cut-off values. MAIN OUTCOME MEASURES: Incident hypertension in 2015. RESULTS: The prevalence of incident hypertension in 2015 based on RFM quartiles were 14.8%, 21.2%, 26.8% and 35.2%, respectively (p for trend <0.001). In overall population, the OR for the highest quartile compared with the lowest quartile for RFM was 2.032 (1.567–2.634) in the fully adjusted model. In ROC analysis, RFM and WHtR had the highest area under the curve (AUC) value in both sexes but did not show statistical significance when compared with AUC value of BMI and WC in men and AUC value of WC in women. The performance of the prediction model based on RFM was comparable to that of BMI, WC or WHtR. CONCLUSIONS: RFM can be a powerful indictor for predicting incident hypertension in Chinese population, but it does not show superiority over BMI, WC and WHtR in predictive power.
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spelling pubmed-75699152020-10-21 Predictive value of relative fat mass algorithm for incident hypertension: a 6-year prospective study in Chinese population Yu, Peng Huang, Teng Hu, Senlin Yu, Xuefeng BMJ Open Cardiovascular Medicine OBJECTIVES: Individuals with obesity especially excessive visceral adiposity have high risk for incident hypertension. Recently, a new algorithm named relative fat mass (RFM) was introduced to define obesity. Our aim was to investigate whether it can predict hypertension in Chinese population and to compare its predictive power with traditional indices including body mass index (BMI), waist circumference (WC) and waist-to-height ratio (WHtR). DESIGN: A 6-year prospective study. SETTING: Nine provinces (Hei Long Jiang, Liao Ning, Jiang Su, Shan Dong, He Nan, Hu Bei, Hu Nan, Guang Xi and Gui Zhou) in China. PARTICIPANTS: Those without hypertension in 2009 survey and respond in 2015 survey. INTERVENTION: Logistic regression were performed to investigate the association between RFM and incident hypertension. Receiver operating characteristic (ROC) analysis was performed to compare the predictive ability of these indices and define their optimal cut-off values. MAIN OUTCOME MEASURES: Incident hypertension in 2015. RESULTS: The prevalence of incident hypertension in 2015 based on RFM quartiles were 14.8%, 21.2%, 26.8% and 35.2%, respectively (p for trend <0.001). In overall population, the OR for the highest quartile compared with the lowest quartile for RFM was 2.032 (1.567–2.634) in the fully adjusted model. In ROC analysis, RFM and WHtR had the highest area under the curve (AUC) value in both sexes but did not show statistical significance when compared with AUC value of BMI and WC in men and AUC value of WC in women. The performance of the prediction model based on RFM was comparable to that of BMI, WC or WHtR. CONCLUSIONS: RFM can be a powerful indictor for predicting incident hypertension in Chinese population, but it does not show superiority over BMI, WC and WHtR in predictive power. BMJ Publishing Group 2020-10-16 /pmc/articles/PMC7569915/ /pubmed/33067286 http://dx.doi.org/10.1136/bmjopen-2020-038420 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Cardiovascular Medicine
Yu, Peng
Huang, Teng
Hu, Senlin
Yu, Xuefeng
Predictive value of relative fat mass algorithm for incident hypertension: a 6-year prospective study in Chinese population
title Predictive value of relative fat mass algorithm for incident hypertension: a 6-year prospective study in Chinese population
title_full Predictive value of relative fat mass algorithm for incident hypertension: a 6-year prospective study in Chinese population
title_fullStr Predictive value of relative fat mass algorithm for incident hypertension: a 6-year prospective study in Chinese population
title_full_unstemmed Predictive value of relative fat mass algorithm for incident hypertension: a 6-year prospective study in Chinese population
title_short Predictive value of relative fat mass algorithm for incident hypertension: a 6-year prospective study in Chinese population
title_sort predictive value of relative fat mass algorithm for incident hypertension: a 6-year prospective study in chinese population
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7569915/
https://www.ncbi.nlm.nih.gov/pubmed/33067286
http://dx.doi.org/10.1136/bmjopen-2020-038420
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