Nauman Javaid, Mirzaamin Tania, Franklin Barry A, Nes Bjarne M, Lavie Carl J, Dunn Patrick, Arena Ross, Wen Chi Pang, Tari Atefe R, Wisløff Ulrik
Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, NORWAY.
Med Sci Sports Exerc. 2025 Mar 1;57(3):481-489. doi: 10.1249/MSS.0000000000003584. Epub 2024 Nov 4.
Personal activity intelligence (PAI) translates heart rate during physical activity (PA) into a weekly score, which credits vigorous over low- and moderate-intensity PA. We prospectively investigated the association between PAI and fatal and nonfatal coronary heart disease (CHD) in self-reported healthy participants from Norway, with specific reference to improving the accuracy of conventional coronary risk assessment.
We studied 40,961 healthy adults (56% women) from the population-based Trøndelag Health Study (the HUNT study). Individual data were linked to hospital and cause of death registries. The weekly PAI score of each participant was divided into four groups (PAI scores of 0, ≤50, 51-99, or ≥100). Adjusted hazard ratios and 95% confidence intervals for fatal and nonfatal CHD related to PAI were estimated using Cox proportional hazard regression analyses.
During a median follow-up period of 13.1 yr (interquartile range, 12.7-13.6), 3303 (3109 nonfatal, 194 fatal) CHD events occurred. Compared with the inactive group (0 PAI), weekly PAI scores at baseline of 51-99 and ≥100 were associated with a lower risk of CHD [0.80 (0.71-0.91) and 0.86 (0.78-0.95), respectively]. By adding PAI to traditional risk factors, the net reclassification improvement of CHD was 0.472 ( P < 0.001).
PAI was inversely associated with CHD risk among healthy participants at baseline, and its cardioprotective effect persisted across diverse risk factor profiles. A PAI score >50 was substantially associated with a reduced risk of CHD. These findings have implications for improving the accuracy of conventional coronary risk assessments with PAI.
个人活动智能（PAI）将身体活动（PA）期间的心率转化为每周得分，该得分赋予高强度身体活动比低强度和中等强度身体活动更高的分值。我们前瞻性地研究了挪威自我报告健康的参与者中PAI与致命性和非致命性冠心病（CHD）之间的关联，特别关注提高传统冠心病风险评估的准确性。
我们研究了基于人群的特隆赫姆健康研究（HUNT研究）中的40961名健康成年人（56%为女性）。个体数据与医院和死亡原因登记处相关联。将每位参与者的每周PAI得分分为四组（PAI得分为0、≤50、51 - 99或≥100）。使用Cox比例风险回归分析估计与PAI相关的致命性和非致命性CHD的调整后风险比和95%置信区间。
在中位随访期13.1年（四分位间距，12.7 - 13.6）内，发生了3303例（3109例非致命性，194例致命性）CHD事件。与不活动组（PAI为0）相比，基线时每周PAI得分51 - 99和≥100与较低的CHD风险相关[分别为0.80（0.71 - 0.91）和0.86（0.78 - 0.95）]。通过将PAI添加到传统风险因素中，CHD的净重新分类改善为0.472（P < 0.001）。
在基线时，PAI与健康参与者的CHD风险呈负相关，并且其心脏保护作用在不同的风险因素概况中持续存在。PAI得分>50与CHD风险降低显著相关。这些发现对于提高使用PAI进行传统冠心病风险评估的准确性具有重要意义。
