Longitudinal relationship between 24-Hour Movement behavior patterns and physical function and quality of life after stroke: a latent transition analysis

久坐行为 活动记录 体力活动 冲程(发动机) 生活质量(医疗保健) 心理学 纵向研究 医学 潜在增长模型 老年学 临床营养学 物理疗法 物理医学与康复 昼夜节律 发展心理学 内科学 工程类 病理 心理治疗师 机械工程
作者
Yi Zhang,Yao Lin,Lei Chen,Weiying Zhong,J. Li,Lan Xu,Xi Pan
出处
期刊:International Journal of Behavioral Nutrition and Physical Activity [Springer Nature]
卷期号:21 (1)
标识
DOI:10.1186/s12966-024-01689-1
摘要

Abstract Background 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). Methods 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. Results 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. Conclusions 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.

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