Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates; K. G. Jebsen Center of Exercise in Medicine at the Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.
K. G. Jebsen Center of Exercise in Medicine at the Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.
Prog Cardiovasc Dis. 2019 Mar-Apr;62(2):179-185. doi: 10.1016/j.pcad.2019.02.006. Epub 2019 Feb 22.
Despite all the evidence of health benefits related to physical activity (PA) and cardiorespiratory fitness (CRF), low levels of PA have reached pandemic proportions, and inactivity is the fourth leading cause of death worldwide. Lack of time, and inability to self-manage are often cited as main barriers to getting adequate PA. Recently, a new personalized metric for PA tracking named Personal Activity Intelligence (PAI) was developed with the aim to make it easier to quantify how much PA per week is needed to reduce the risk of premature mortality from non-communicable diseases. PAI can be integrated in self-assessment heart rate devices and defines a weekly beneficial heart rate pattern during PA by considering the individual's sex, age, and resting and maximal heart rates. Among individuals ranging from the general population to subgroups of patients with cardiovascular disease (CVD), a PAI score ≥100 per week at baseline, an increase in PAI score, and a sustained high PAI score over time were found to delay premature death from CVD and all causes, regardless of whether or not the current PA recommendations were met. Importantly, a PAI score ≥100 at baseline, maintaining ≥100 PAIs and an increasing PAI score over time was associated with multiple years of life gained. Moreover, obtaining a weekly PAI ≥100 attenuated the deleterious association between CVD risk factor clustering and prolonged sitting time. PAI and objectively measured CRF (as indicated by VO) were positively associated in a graded fashion, and individuals with a PAI score between 100 and 150 had expected age and sex specific average VO values. A PAI score ≥100 was associated with higher VO in both men (4.1 mL·kg·min; 95% CI, 3.5 to 4.6) and women (2.9 mL·kg·min; 95% CI, 2.4 to 3.3), compared to the reference group of <100 PAI. The combined analysis of PAI, PA and VO demonstrated that a PAI score ≥100 was associated with high VO values regardless of meeting or not meeting the current PA recommendations. Collectively, these findings suggest that PAI has the potential to be a useful tool to motivate people to become and stay physically active by quantifying the amount of PA needed to produce significant health benefits.
尽管有大量证据表明身体活动(PA)和心肺适能(CRF)有益于健康,但低水平的身体活动已达到流行程度,而缺乏运动是全球导致死亡的第四大主要原因。缺乏时间和无法自我管理通常被认为是获得足够身体活动的主要障碍。最近,一种新的个性化身体活动追踪指标——个人活动智能(PAI)被开发出来,目的是更容易量化每周需要多少身体活动来降低非传染性疾病导致的过早死亡率。PAI 可以集成在自我评估心率设备中,并通过考虑个体的性别、年龄、静息和最大心率来定义 PA 期间每周有益的心率模式。在从一般人群到心血管疾病(CVD)患者亚组的个体中,发现基线时每周 PAI 得分≥100、PAI 得分增加以及随着时间的推移持续高 PAI 得分与 CVD 和所有原因导致的过早死亡延迟相关,无论是否达到当前的身体活动建议。重要的是,基线时 PAI 得分≥100、随着时间的推移保持 PAI 得分≥100 且 PAI 得分增加与获得多年的预期寿命有关。此外,每周获得 PAI 得分≥100 可减弱 CVD 风险因素聚集与久坐时间延长之间的有害关联。PAI 与客观测量的 CRF(以 VO 表示)呈分级相关,PAI 得分在 100 至 150 之间的个体具有预期的年龄和性别特定的平均 VO 值。PAI 得分≥100 与男性(4.1mL·kg·min;95%CI,3.5 至 4.6)和女性(2.9mL·kg·min;95%CI,2.4 至 3.3)中的更高 VO 相关,与 PAI<100 的参考组相比。PAI、PA 和 VO 的综合分析表明,无论是否符合当前的 PA 建议,PAI 得分≥100 与高 VO 值相关。总的来说,这些发现表明,PAI 有可能成为一种有用的工具,通过量化产生显著健康益处所需的身体活动量来激励人们变得活跃并保持活跃。