背景:对于年轻人来说,已知动态血压(ABP)模式异常与心血管疾病风险增加和潜在靶器官损害相关.身体成分,包括瘦身指数(LMI)等指标,脂肪质量指数(FMI),和内脏脂肪水平(VFL),在血压(BP)调节中起着重要作用。然而,关于这些身体成分指标与ABP之间的关联知之甚少.因此,本研究调查了这些身体成分指标与中国青少年血压之间的关系.
方法:长沙某高校17-28岁大学生477人(均值±标准差=18.96±1.21),湖南省,中国,包括在这项研究中。用生物电阻抗体成分分析仪测量体成分指标,并进行24小时动态血压监测(ABPM).采用多因素logistic回归分析身体成分指标与ABP异常的关系。
结果:异常血压的患病率,包括24小时血压,白天血压,夜间BP,和诊所的血压,为4.8%,4.2%,8.6%,10.9%,分别。在调整潜在协变量后,LMI[异常24小时血压(OR=1.85,95CI:1.31,2.62),白天血压异常(OR=1.76,95CI:1.21,2.58),夜间血压异常(OR=1.64,95CI:1.25,2.14),临床血压异常(OR=1.84,95CI:1.38,2.45)],FMI[异常24小时血压(OR=1.20,95CI:1.02,1.41),白天血压异常(OR=1.30,95CI:1.07,1.57),夜间血压异常(OR=1.24,95CI:1.10,1.39),临床血压异常(OR=1.42,95CI:1.22,1.65)],和VFL[异常24小时BP(OR=1.22,95CI:1.06,1.39),白天血压异常(OR=1.29,95CI:1.10,1.51),夜间血压异常(OR=1.24,95CI:1.12,1.39),临床血压异常(OR=1.38,95CI:1.21,1.57)]与血压异常呈正相关。此外,身体成分与血压异常之间的关联存在显着性别差异。
结论:我们的研究结果表明,保持个体适当的肌肉质量和脂肪质量,并关注男性和女性身体成分的不同关系,对于实现适当的血压分布至关重要。
BACKGROUND: For youths, abnormalities in ambulatory blood pressure (ABP) patterns are known to be associated with increased cardiovascular disease risk and potential target organ damage. Body composition, including indicators such as lean mass index (LMI), fat mass index (FMI), and visceral fat level (VFL), plays a significant role in blood pressure (BP) regulation. However, little is known about the association between these body composition indicators and ABP. Therefore, the present study examined the association between these body composition indicators and BP among Chinese youths.
METHODS: A total of 477 college students aged 17 to 28 years old (mean ± Standard deviation = 18.96 ± 1.21) from a university in Changsha, Hunan Province, China, were included in this study. Body composition indicators were measured with a bioelectrical impedance body composition analyzer, and 24-hour ambulatory blood pressure monitoring (ABPM) was conducted. Multivariable logistic regression was performed to assess the relationship between body composition indicators and abnormal ABP.
RESULTS: The prevalence of abnormal BP, including 24-hour BP, daytime BP, nighttime BP, and clinic BP, were 4.8%, 4.2%, 8.6%, and 10.9%, respectively. After adjusting for potential covariates, LMI [abnormal 24-hour BP (OR = 1.85, 95%CI:1.31, 2.62), abnormal daytime BP (OR = 1.76, 95%CI:1.21, 2.58), abnormal nighttime BP (OR = 1.64, 95%CI:1.25, 2.14), abnormal clinic BP (OR = 1.84, 95%CI:1.38, 2.45)], FMI [abnormal 24-hour BP (OR = 1.20, 95%CI:1.02, 1.41), abnormal daytime BP (OR = 1.30, 95%CI:1.07, 1.57), abnormal nighttime BP (OR = 1.24, 95%CI:1.10, 1.39), abnormal clinic BP (OR = 1.42, 95%CI:1.22, 1.65)], and VFL [abnormal 24-hour BP (OR = 1.22, 95%CI:1.06, 1.39), abnormal daytime BP (OR = 1.29, 95%CI:1.10, 1.51), abnormal nighttime BP (OR = 1.24, 95%CI:1.12, 1.39), abnormal clinic BP (OR = 1.38, 95%CI:1.21, 1.57)] are positively linked to abnormal BP. Additionally, there were significant sex differences in the association between body composition and abnormal BP.
CONCLUSIONS: Our findings suggested maintaining an individual\'s appropriate muscle mass and fat mass and focusing on the different relations of males\' and females\' body composition is crucial for the achievement of appropriate BP profiles.