Bozkurt Hatice N, Yıldırım Meriç, Çavdar Caner, Bildacı Yelda D
Institute of Health Sciences, Dokuz Eylul University, İzmir, Turkey.
Faculty of Physical Therapy and Rehabilitation, Dokuz Eylul University, İzmir, Turkey.
Postepy Kardiol Interwencyjnej. 2024 Dec;20(4):428-432. doi: 10.5114/aic.2024.142817. Epub 2024 Sep 12.
Cardiovascular diseases are the leading cause of morbidity and mortality after kidney transplantation. Physical inactivity is an important factor for the development of cardiovascular disease (CVD) risk.
To evaluate CVD risk and its association with accelerometer-based physical activity (PA) parameters in kidney transplant recipients (KTRs).
This cross-sectional study included 43 KTRs. Number of steps, total energy expenditure, average sleep and lying times, average metabolic equivalent (MET), and PA duration were assessed with SenseWear Armband. CVD risk was predicted using a web-based interactive tool (HeartScore program).
CVD risk was negatively correlated with number of steps, average MET and PA duration. Average MET and PA duration were significantly higher in KTRs with low CVD risk compared to KTRs with moderate CVD risk ( = 0.004 and = 0.007, respectively). Average MET, PA duration and number of steps were significantly higher in KTRs with low CVD risk compared to KTRs with high CVD risk ( < 0.001, < 0.001 and = 0.009, respectively). Number of steps was higher in KTRs with moderate CVD risk compared to KTRs with high CVD risk ( = 0.010). The linear regression analysis revealed that average MET was a predictor of CVD risk, accounting for 15.9% of the variance.
CVD risk is associated with accelerometer-based PA parameters and average MET is a significant predictor of CVD risk after kidney transplantation in KTRs. Wearable technologies can be used to objectively measure PA parameters in order to determine CVD risk and to monitor the efficiency of PA interventions after kidney transplantation.
心血管疾病是肾移植后发病和死亡的主要原因。身体活动不足是心血管疾病(CVD)风险发展的一个重要因素。
评估肾移植受者(KTRs)的CVD风险及其与基于加速度计的身体活动(PA)参数的关联。
这项横断面研究纳入了43名KTRs。使用SenseWear臂带评估步数、总能量消耗、平均睡眠和躺卧时间、平均代谢当量(MET)以及PA持续时间。使用基于网络的交互式工具(HeartScore程序)预测CVD风险。
CVD风险与步数、平均MET和PA持续时间呈负相关。与中度CVD风险的KTRs相比,低CVD风险的KTRs的平均MET和PA持续时间显著更高(分别为P = 0.004和P = 0.007)。与高CVD风险的KTRs相比,低CVD风险的KTRs的平均MET、PA持续时间和步数显著更高(分别为P < 0.001、P < 0.001和P = 0.009)。与高CVD风险的KTRs相比,中度CVD风险的KTRs的步数更高(P = 0.010)。线性回归分析显示,平均MET是CVD风险的一个预测因子,占方差的15.9%。
CVD风险与基于加速度计的PA参数相关,平均MET是KTRs肾移植后CVD风险的一个重要预测因子。可穿戴技术可用于客观测量PA参数,以确定CVD风险并监测肾移植后PA干预的效果。