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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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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. |
format | Online Article Text |
id | pubmed-7569915 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
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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