Analysis of the weighting of each dimension of intrinsic capacity and the composite index based on multiple adverse outcome indicators

Background: The global aging trend is severe. In 2015, the World Health Organization redefined healthy aging by introducing the concept of functional capacity. This study aims to explore the weighting of each dimension of functional capacity and its composite index, and to examine the predictive value of the functional capacity composite index for multiple adverse health outcomes among community-dwelling older adults. Methods: Using data from the 2015 (baseline) and 2020 China Health and Retirement Longitudinal Study, we analyze intrinsic capacity, disability, falls, and hospitalization.Use the Critic weighting method to calculate the comprehensive index of intrinsic capacity and related weights.The predictive ability of the intrinsic capacity composite index for disability, falls, and hospitalization was demonstrated by calculating the ROC curve. Results: The 8,647 elderly people included in the baseline study showed relatively severe impairment in their motor and cognitive dimensions. Among the five dimensions of intrinsic capacity, which are measured by adverse health outcomes such as disability, falls, and hospitalization, cognition, mobility, and vitality are weighted most heavily.The intrinsic capacity composite index of the 5,216 elderly people followed up can independently predict disability, falls, and hospitalization in the elderly, with areas under the ROC curve (AUC) of 0.652, 0.611, and 0.584, respectively. Conclusion: This study longitudinally examines the predictive impact of the intrinsic capacity composite index on disability, falls, and hospitalization, actively responding to the trend of healthy aging.The cognitive, motor, and vitality dimensions of intrinsic capacity are emphasized. Decline in intrinsic capacity is an independent predictor of disability, falls, and hospitalization in older adults.