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血压轨迹及其在中国成年人中的影响因素:一项具有长期随访的队列研究。

Blood Pressure Trajectory and Its Influencing Factors in Chinese Adults: A Cohort Study with Long-Term Follow-Up.

机构信息

Department of Cardiology, People's Hospital of Gaozhou, Gaozhou, Guangdong, China (mainland).

出版信息

Med Sci Monit. 2022 Mar 31;28:e934886. doi: 10.12659/MSM.934886.

Abstract

BACKGROUND Few studies have been reported on the factors affecting the trajectory of blood pressure in Chinese adults. This study aimed to identify the pattern of blood pressure trajectories and analyze the factors affecting different trajectories. MATERIAL AND METHODS A total of 749 participants were included in this study from the China Health and Nutrition Survey (CHNS) database, collected between 1989 and 2006, and were followed up until 2015. A group-based trajectory model was used to identify similar development trajectories of blood pressure levels. Univariate and multivariate logistic regression analysis was used to explore the influencing factors of blood pressure trajectories. RESULTS Three systolic (SBP) and diastolic blood pressure (DBP) trajectory groups were identified: Group 1, "low initial blood pressure and slight rise" (SBP, n=267, 35.65%); Group 2, "low initial blood pressure and moderate rise" (SBP, n=375, 50.07%); and Group 3, "high initial blood pressure and high rise" (SBP, n=107, 14.29%). In the SBP trajectory groups, age ³40 years, male sex, body mass index (BMI) ≥24 kg/m², and the eastern region of China were associated with a rapid rise and high baseline blood pressure (P<0.01). In terms of DBP trajectory, male sex, BMI ≥24 kg/m², and the eastern region of China were also related to the rapid rise and high baseline blood pressure, while age may not affect rise rate (P<0.01). CONCLUSIONS Different blood pressure trajectories and related influencing factors may provide information for targeted interventions, especially for people with high initial blood pressure and high rise.

摘要

背景

很少有研究报道影响中国成年人血压轨迹的因素。本研究旨在确定血压轨迹模式,并分析影响不同轨迹的因素。

材料与方法

本研究共纳入了中国健康与营养调查(CHNS)数据库中的 749 名参与者,数据收集时间为 1989 年至 2006 年,随访至 2015 年。采用基于群组的轨迹模型来识别血压水平相似的发展轨迹。采用单变量和多变量逻辑回归分析来探讨血压轨迹的影响因素。

结果

确定了三种收缩压(SBP)和舒张压(DBP)轨迹组:组 1,“初始血压低且略有升高”(SBP,n=267,35.65%);组 2,“初始血压低且中度升高”(SBP,n=375,50.07%);组 3,“初始血压高且升高幅度大”(SBP,n=107,14.29%)。在 SBP 轨迹组中,年龄³40 岁、男性、体重指数(BMI)≥24kg/m²和中国东部地区与快速上升和高基础血压相关(P<0.01)。在 DBP 轨迹方面,男性、BMI≥24kg/m²和中国东部地区也与快速上升和高基础血压相关,而年龄可能不会影响上升率(P<0.01)。

结论

不同的血压轨迹和相关影响因素可能为有针对性的干预提供信息,特别是对于初始血压高且升高幅度大的人群。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/080b/8982101/e4901ff8205b/medscimonit-28-e934886-g001.jpg

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