Haeny Truman, Nelson Rachael, Ducharme Jeremy, Zuhl Micah
Department of Health, Exercise, and Sports Sciences, University of New Mexico, Albuquerque, NM 87131, USA.
School of Health Sciences, Central Michigan University, Mt. Pleasant, MI 48859, USA.
J Cardiovasc Dev Dis. 2019 Sep 6;6(3):32. doi: 10.3390/jcdd6030032.
Defining time frames throughout cardiac rehabilitation (CR) to progress exercise workloads may lead to improve functional capacity outcomes. The purpose of this study was to investigate the role of exercise progression on functional capacity among cardiac patients enrolled in CR. This was a retrospective database analysis study. Extracted data included: Demographic, functional capacity (in METs), and exercise intensity during exercise sessions 2, 12, 24, and 36 of CR from 150 patients who completed a 36-session program. Progression of exercise was determined by calculating percent change in treadmill exercise workload within predefined time frames of CR. The time frames were percent change from exercise session 2 to 12 ("%ΔS2-S12), 12 to 24 (%ΔS12-S24), and 24 to 36 (%ΔS24-S36). A multiple linear regression model was developed to predict change in functional capacity (ΔMETs). A significant proportion (21%) of total variation in ΔMETs was predicted by %ΔS2-12, %ΔS12-24, %ΔS24-36, age, sex, and body mass index (BMI). Percent changes between sessions 12 to 24 (%ΔS12-24; β = 0.17, = 0.03) and 24 to 36 (%ΔS24-36; β = 0.23, < 0.01) were significant predictors. Progressing patients between sessions 12 to 24 and 24 to 36 predicted significant changes in functional capacity and reinforced the importance of exercise progression across all 36 sessions of CR.
在心脏康复(CR)过程中确定各个阶段以逐步增加运动负荷,可能会改善功能能力的结果。本研究的目的是调查运动进展对参加CR的心脏病患者功能能力的作用。这是一项回顾性数据库分析研究。提取的数据包括:150名完成36节课程计划的患者在CR的第2、12、24和36节运动课程中的人口统计学信息、功能能力(以代谢当量计)和运动强度。运动进展通过计算在CR预定义时间范围内跑步机运动负荷的百分比变化来确定。时间范围是从第2节到第12节运动课程的百分比变化(“%ΔS2 - S12”)、第12节到第24节(%ΔS12 - S24)以及第24节到第36节(%ΔS24 - S36)。建立了一个多元线性回归模型来预测功能能力的变化(Δ代谢当量)。%ΔS2 - 12、%ΔS12 - 24、%ΔS24 - 36、年龄、性别和体重指数(BMI)预测了Δ代谢当量总变异的很大一部分(21%)。第12节到第24节之间的百分比变化(%ΔS12 - 24;β = 0.17,P = 0.03)和第24节到第36节之间的百分比变化(%ΔS24 - 36;β = 0.23,P < 0.01)是显著的预测因素。在第12节到第24节以及第24节到第36节之间推动患者进展,预测了功能能力的显著变化,并强化了在CR的所有36节课程中运动进展的重要性。