Zhang Yi, Yao Lin, Chen Lei, Zhong Weiying, Li Jiaxuan, Xu Lan, Pan Xi
Nursing Department, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, 215000, Jiangsu, China.
Int J Behav Nutr Phys Act. 2024 Dec 18;21(1):141. doi: 10.1186/s12966-024-01689-1.
24-hour movement behavior, including Physical activity (PA), Sedentary behavior (SB), and sleep, is independently associated with health after stroke. Few studies have explored 24-hour movement behavior patterns in stroke survivors and their transitions, as well as the health implications of the transitions. This study aimed to explore the different subgroups and stability of 24-hour movement behavior patterns in people after stroke and the relationship of profile transitions with physical function and health-related quality of life (HRQoL).
In this study, 131 people with first-ever stroke were investigated at one week (T1), one month (T2), three months (T3), and six months (T4) after discharge. The participants were asked to wear a wristband smartwatch for 7 consecutive days during each pe riod to collect 24-hour exercise data. After each period, their physical function and HRQoL were assessed. Latent profile analysis (LPA) identified typologies of 24-hour movement behaviors, and latent transition analysis (LTA) examined the stability and change in these profiles over time. The relationship of transition types with physical function and HRQoL was analyzed using a generalized linear regression model.
108 participants were categorized into 3 latent profiles of 24-hour movement behavior: "Active, Non-sedentary, and Short sleep," "Active and Sedentary," and "Inactive and Sedentary." The LTA results indicated that the proportion of participants with the "Active, Non-sedentary, and Short Sleep" profile and "Active and Sedentary" profile staying in the original latent profile was high. However, participants in the "Inactive and Sedentary" profile showed a high probability of transitioning to "Active and Sedentary" profile (T1→T2: 65.2%; T2→T3: 76.3%; T3→T4: 51.7%;T1→T4: 54.2%). Transition types are associated with physical function and HRQoL.
The results demonstrated substantial transitions in 24-hour movement behaviors within 6 months of rehabilitation after discharge, associated with later physical function and HRQoL. Furthermore, the participants' sedentary behavior was highly stable within 24-hour movement behaviors, necessitating prompt diagnosis and intervention.
24小时运动行为,包括身体活动(PA)、久坐行为(SB)和睡眠,与中风后的健康状况独立相关。很少有研究探讨中风幸存者的24小时运动行为模式及其转变,以及这些转变对健康的影响。本研究旨在探讨中风后人群24小时运动行为模式的不同亚组和稳定性,以及模式转变与身体功能和健康相关生活质量(HRQoL)的关系。
在本研究中,131例首次中风患者在出院后1周(T1)、1个月(T2)、3个月(T3)和6个月(T4)接受调查。在每个时间段,参与者被要求连续7天佩戴腕部智能手表,以收集24小时运动数据。每个时间段后,评估他们的身体功能和HRQoL。潜在剖面分析(LPA)确定24小时运动行为的类型,潜在转变分析(LTA)检查这些剖面随时间的稳定性和变化。使用广义线性回归模型分析转变类型与身体功能和HRQoL的关系。
108名参与者被分为三种24小时运动行为的潜在剖面:“活跃、非久坐和短睡眠型”、“活跃和久坐型”以及“不活跃和久坐型”。LTA结果表明,“活跃、非久坐和短睡眠型”和“活跃和久坐型”剖面的参与者保持在原始潜在剖面的比例较高。然而,“不活跃和久坐型”剖面的参与者转变为“活跃和久坐型”剖面的可能性较高(T1→T2:65.2%;T2→T3:76.3%;T3→T4:51.7%;T1→T4:54.2%)。转变类型与身体功能和HRQoL相关。
结果表明,出院后康复6个月内24小时运动行为发生了显著转变,这与后期的身体功能和HRQoL相关。此外,参与者的久坐行为在24小时运动行为中高度稳定,需要及时诊断和干预。