Liu Weida, Chen Runzhen, Song Chenxi, Wang Chuangshi, Chen Ge, Hao Jun, Wang Yang, Yu Chenxi
State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.
Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.
Front Cardiovasc Med. 2021 Sep 16;8:705831. doi: 10.3389/fcvm.2021.705831. eCollection 2021.
A single measurement of grip strength (GS) could predict the incidence of cardiovascular disease (CVD). However, the long-term pattern of GS and its association with incident CVD are rarely studied. We aimed to characterize the GS trajectory and determine its association with the incidence of CVD (myocardial infarction, angina, stroke, and heart failure). This study included 5,300 individuals without CVD from a British community-based cohort in 2012 (the baseline). GS was repeatedly measured in 2004, 2008, and 2012. Long-term GS patterns were identified by the group-based trajectory model. Cox proportional hazard models were used to examine the associations between GS trajectories and incident CVD. We identified three GS trajectories separately for men and women based on the 2012 GS measurement and change patterns during 2004-2012. After a median follow-up of 6.1 years (during 2012-2019), 392 participants developed major CVD, including 114 myocardial infarction, 119 angina, 169 stroke, and 44 heart failure. Compared with the high stable group, participants with low stable GS was associated with a higher incidence of CVD incidence [hazards ratio (HR): 2.17; 95% confidence interval (CI): 1.52-3.09; <0.001], myocardial infarction (HR: 2.01; 95% CI: 1.05-3.83; = 0.035), stroke (HR: 1.96; 95% CI: 1.11-3.46; = 0.020), and heart failure (HR: 6.91; 95% CI: 2.01-23.79; = 0.002) in the fully adjusted models. The low GS trajectory pattern was associated with a higher risk of CVD. Continuous monitoring of GS values could help identify people at risk of CVD.
单次握力(GS)测量可预测心血管疾病(CVD)的发病率。然而,握力的长期变化模式及其与新发心血管疾病的关联鲜有研究。我们旨在描述握力轨迹特征,并确定其与心血管疾病(心肌梗死、心绞痛、中风和心力衰竭)发病率的关联。本研究纳入了2012年(基线)来自英国一个社区队列的5300名无心血管疾病的个体。在2004年、2008年和2012年对握力进行了重复测量。通过基于群组的轨迹模型确定长期握力模式。使用Cox比例风险模型检验握力轨迹与新发心血管疾病之间的关联。根据2012年的握力测量值以及2004 - 2012年期间的变化模式,我们分别为男性和女性确定了三种握力轨迹。在中位随访6.1年(2012 - 2019年)后,392名参与者发生了主要心血管疾病,包括114例心肌梗死、119例心绞痛、169例中风和44例心力衰竭。在完全调整模型中,与高稳定组相比,低稳定握力组参与者的心血管疾病发病率[风险比(HR):2.17;95%置信区间(CI):1.52 - 3.09;P<0.001]、心肌梗死(HR:2.01;95% CI:1.05 - 3.83;P = 0.035)、中风(HR:1.96;95% CI:1.11 - 3.46;P = 0.020)和心力衰竭(HR:6.91;95% CI:2.01 - 23.79;P = 0.002)更高。低握力轨迹模式与心血管疾病风险较高相关。持续监测握力值有助于识别有心血管疾病风险的人群。