Suppr超能文献

儿童左心室质量和静息血压的预测因素:马斯卡廷研究

Predictors of left ventricular mass and resting blood pressure in children: the Muscatine Study.

作者信息

Janz K F, Burns T L, Mahoney L T

机构信息

Department of Sport, Health, and Leisure Studies, University of Iowa, Iowa City 52242, USA.

出版信息

Med Sci Sports Exerc. 1995 Jun;27(6):818-25.

PMID:7658942
Abstract

The objective of this study was to determine predictors of left ventricular mass (LVM) and resting systolic blood pressure (SBP) in preteenage children. Subjects consisted of 124 children (7.9-12 yr) from Muscatine, Iowa. Methods consisted of echocardiographic examinations, random-zero SBP, hormone determination of serum androgens, physician's examination for Tanner stage, anthropometry, maximal bicycle ergometry, hand grip dynamometry, and a physical activity survey. Least square's regression analysis quantified the percentage of explained variability in LVM and resting SBP attributable to the predictor variables. All models were adjusted for body composition. In boys, 72% of the variability in LVM was explained by fat-free body mass (FFM), sum of skinfolds, and peak SBP. In girls, FFM and peak SBP explained 69% of the variability in LVM. Peak SBP was also a significant predictor of resting SBP in boys and girls. Study results indicated that physical fitness and physical activity are not significant predictors of LVM nor resting SBP; however, after adjusting for body composition, peak SBP was an independent predictor of LVM and resting SBP. This result suggests that peak SBP may aid in the prediction of subsequent hypertension and its complications such as left ventricular hypertrophy.

摘要

本研究的目的是确定青春期前儿童左心室质量(LVM)和静息收缩压(SBP)的预测因素。研究对象包括来自爱荷华州马斯卡廷的124名儿童(7.9 - 12岁)。研究方法包括超声心动图检查、随机零点SBP测量、血清雄激素激素测定、医生对坦纳分期的检查、人体测量、最大自行车测力计测试、握力测试以及一项身体活动调查。最小二乘回归分析量化了预测变量对LVM和静息SBP中可解释变异性的百分比。所有模型均针对身体成分进行了调整。在男孩中,LVM变异性的72%可由去脂体重(FFM)、皮褶厚度总和以及峰值SBP解释。在女孩中,FFM和峰值SBP解释了LVM变异性的69%。峰值SBP也是男孩和女孩静息SBP的重要预测因素。研究结果表明,身体素质和身体活动并非LVM和静息SBP的重要预测因素;然而,在调整身体成分后,峰值SBP是LVM和静息SBP的独立预测因素。这一结果表明,峰值SBP可能有助于预测随后的高血压及其并发症,如左心室肥厚。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验