Objectives: Self-monitoring of physical, cognitive, and social activities may be a means of helping older adults to adopt or maintain an active lifestyle, but its effect on disability onset is unknown. This study aimed to examine the association between self-monitoring of the activities and disability onset in older adults.
Design: Longitudinal, observational study.
Setting and participants: General community setting. Participants were 1399 older adults aged ≥75 years (mean age: 79.3 ± 3.6 years; 48.1% female).
Methods: Participants conducted self-monitoring of physical, cognitive, and social activities using a specialized booklet and a pedometer. Level of engagement in self-monitoring was assessed based on the percentage of days in a year for which activities were recorded: no-engagement group (0% of days recorded; n = 438), midlevel-engagement group (0.1-89.9% of days recorded; n = 416), and high-engagement group (≥90% of days recorded; n = 545). Disability onset was determined by whether the participants were awarded a long-term care insurance certification over the 2 years after the explanation of the booklet and pedometer.
Results: Cox proportional hazard regression models showed that the high-engagement group, when compared to the no-engagement group, had a significantly reduced hazard ratio (HR) for disability onset, after adjustment for covariates (HR 0.54, 95% CI 0.34-0.86, P = .010). After propensity score adjustment through inverse probability of treatment weighting (IPTW) and propensity score matching (PSM), the high-engagement group's HR remained significantly lower (IPTW: HR 0.54, 95% CI 0.34-0.86, P = .010; PSM: HR 0.58, 95% CI 0.35-0.96, P = .032).
Conclusions and implications: Self-monitoring of physical, cognitive, and social activities reduces the risk of 2-year disability onset in community-dwelling older adults. Further studies in other settings are needed to examine whether self-monitoring of activities can be a population approach for the primary prevention of disability in other settings.
Keywords: Behavior change theory; disability prevention; population approach.
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