Longitudinal modeling of the relationship between age and maximal heart rate
Longitudinal modeling of the relationship between age and maximal heart rate
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DOI：
10.1097/mss.0b013e31803349c6
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发表时间：
2007-05-01
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影响因子：
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通讯作者：
Moudgil, Virinder K.
中科院分区：
文献类型：
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作者：
Gellish, Ronald L.;Goslin, Brian R.;Moudgil, Virinder K.
目的：基于人的年龄的最大心率（HRmax）预测方程经常用于处方运动强度和其他临床应用。各种横断面研究的结果表明，随着年龄的增长，运动时HRmax呈线性下降。然而，随着年龄的增长，对同一个人HRmax的纵向跟踪显示出相同的线性关系，这一点还不太确定。这项研究考察了运动中年龄与HRmax之间的纵向关系。方法：2006年对1978 ~ 2003年参加某高校健康评估/健身中心会员的最大运动分级测试（GXT）结果进行回顾性分析。研究人员检查了来自不同年龄和健康水平的男女个体（N=132）的记录，这些个体在25年内进行了多次GXT（总N=908）。使用线性混合模型统计分析方法建立了基于参与者年龄和测试期间得出的HRmax的HRmax预测方程。结果：在本纵向研究中，在使用GXT期间获得的临床测量结果产生了单变量预测模型：HRmax=207-0.7 x年龄。模型参数具有高度统计学意义(P
Purpose: Maximal heart rate (HRmax)-prediction equations based on a person's age are frequently used in prescribing exercise intensity and other clinical applications. Results from various cross-sectional studies have shown a linear decrease in HRmax during exercise with increasing age. However, it is less well established that longitudinal tracking of the same individuals' HRmax as they age exhibits an identical linear relationship. This study examined the longitudinal relationship between age and HRmax during exercise. Methods: A retrospective analysis of maximal graded exercise test (GXT) results for members participating in a university-based health-assessment/fitness center between 1978 and 2003 was undertaken in 2006. Records were examined from individuals (N=132) of both sexes who represented a broad range of age and fitness levels and who had multiple GXT (total N=908) conducted over 25 years. HRmax-prediction equations based on participants' age and HRmax elicited during the tests were developed using a linear mixed-models statistical analysis approach, Results: Clinical measurements obtained during the administration of the GXT included in this longitudinal study resulted in the generation of a univariate prediction model: HRmax=207-0.7 x age. Model parameters were highly statistically significant (P