The Chinese University of Hong Kong, Hong Kong.
The Chinese University of Hong Kong, Hong Kong.
J Nutr Health Aging. 2024 Jul;28(7):100273. doi: 10.1016/j.jnha.2024.100273. Epub 2024 Jun 3.
Trajectory of intrinsic capacity (IC) can be non-linear and discontinuous, which traditional linear models may not be able to handle. This study thus aimed to model the trajectory of IC as transitions between different IC states and examine their associated factors.
Longitudinal data from a sample of community-dwelling older people aged 60 years or above (n = 1,588) was analysed. A set of 14 self-reported items representing different domains of IC were administered annually to measure IC at four time points. Based on the number of impaired IC domains (i.e., cognitive, locomotor, vitality, sensory, and psychological), participants at each time point were classified into one of three IC states, namely state 1 (0 impaired domain), state 2 (1-2 impaired domains), and state 3 (3-5 impaired domains). Multistate modelling was used to identify factors associated with the transitions from one state to another.
The mean age of participants was 75.0 years, and 77.4% of them were female. At baseline, 12.4% were in state 1, 51.8% were in state 2, and 35.8% were in state 3. 62.8% of participants experienced at least one transition between states, among which 12% experienced a transition every year. The transitions occurred mostly between adjacent IC states and could take place back and forth. Age, sex, marital status, perceived financial adequacy, number of chronic diseases, and self-rated health were the factors associated with the transitions.
Findings may serve as a valuable reference for guiding future policies to optimize IC and promote healthy ageing using a person-centred approach.
内在能力（IC）的轨迹可能是非线性和不连续的，传统的线性模型可能无法处理。因此，本研究旨在将 IC 的轨迹建模为不同 IC 状态之间的转变，并研究其相关因素。
对 1588 名年龄在 60 岁或以上的社区居住老年人的纵向数据进行了分析。每年对一组 14 项自我报告的项目进行评估，以衡量四个时间点的 IC，这些项目代表 IC 的不同领域。根据受损 IC 领域的数量（即认知、运动、活力、感官和心理），每个时间点的参与者被分为三种 IC 状态之一：状态 1（无受损领域）、状态 2（1-2 个受损领域）和状态 3（3-5 个受损领域）。多状态模型用于确定与从一个状态到另一个状态的转变相关的因素。
参与者的平均年龄为 75.0 岁，其中 77.4%为女性。在基线时，12.4%处于状态 1，51.8%处于状态 2，35.8%处于状态 3。62.8%的参与者至少经历了一次状态间的转变，其中 12%每年都有转变。转变大多发生在相邻的 IC 状态之间，可以来回进行。年龄、性别、婚姻状况、感知财务充足性、慢性病数量和自我评估健康是与转变相关的因素。
这些发现可能为使用以个人为中心的方法优化 IC 和促进健康老龄化的未来政策提供有价值的参考。
