Significance of relative fat mass to estimate prevalent prehypertension and hypertension in the general population.

Postgraduate medicine Pub Date : 2025-06-01 Epub Date: 2025-05-08 DOI:10.1080/00325481.2025.2502317
Shan Li, Zhi Du, Heng Chen, Liding Zhao, Pei Zhou, Xuan Zhang, Safraz Anwar, Jialan Lv, Zhicheng Pan, Xiaogang Guo
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Abstract

Objective: To evaluate the relationship between relative fat mass (RFM) with prehypertension and hypertension in general population.

Methods: This investigation was a cross-sectional study that recruited 4,885 community-dwelling residents from Zhejiang Province in September 2023 to November 2023. The logistic regression and penalized spline method were applicated to determine the correlation between RFM with prehypertension and hypertension. The interaction effects and subgroups analyses were further conducted to estimate the stability of the aforesaid findings. Besides, the category-free analysis was performed to demonstrate whether the addition of the RFM levels to the traditional model could improve the risk classification of prehypertension and hypertension.

Results: The prevalence of prehypertension and hypertension were, respectively, 64.8%. Multivariable logistic regression indicated that the risk of prehypertension (hazard ratio, 1.99; 95% confidence interval, 1.63-2.44) and hypertension (3.41; 2.81-4.14), respectively, increased by 99% and 241% per standard deviation increase in RFM after adjusting for established risk factors. Taking the participants in the lowest RFM quartile as the reference, and those with the highest quartile had a significantly increased risk of prehypertension (5.26; 3.03-9.12) and hypertension (20.42; 11.84-35.22). The restricted cubic splines demonstrated aforesaid associations were linear, and interaction and subgroup analysis observed the stability of these findings. The category-free analysis suggested that the addition of RFM to the traditional model eventuated an improvement in predictive ability of prehypertension and hypertension.

Conclusions: Our results corroborated the positive association between RFM with prehypertension and hypertension. Clinically, the calculation of RFM should be emphasized in the risk assessment of hypertension and prehypertension.

相对脂肪量对估计普通人群中普遍存在的高血压前期和高血压的意义。
目的:探讨普通人群相对脂肪量(RFM)与高血压前期和高血压的关系。方法:采用横断面研究方法,于2023年9月至2023年11月在浙江省社区居民中抽取4885人进行调查。应用logistic回归和惩罚样条法确定RFM与高血压前期和高血压的相关性。进一步进行相互作用效应和亚组分析,以评估上述结果的稳定性。此外,通过无类别分析验证在传统模型中加入RFM水平是否可以改善高血压前期和高血压的风险分类。结果:高血压前期和高血压患病率分别为64.8%。多变量logistic回归显示,高血压前期风险(风险比,1.99;95%可信区间,1.63-2.44)和高血压(3.41;2.81-4.14),在调整确定的危险因素后,RFM的每标准差增加分别增加99%和241%。以RFM最低四分位数的参与者为参照,最高四分位数的参与者高血压前期风险显著增加(5.26;3.03-9.12)和高血压(20.42;11.84 - -35.22)。限制三次样条表明上述关联是线性的,相互作用和亚群分析观察到这些发现的稳定性。无分类分析表明,在传统模型中加入RFM后,高血压前期和高血压的预测能力有所提高。结论:我们的研究结果证实了RFM与高血压前期和高血压之间的正相关。临床上,在高血压及高血压前期的风险评估中,应重视RFM的计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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