Fig. 4

Web-based dynamic nomogram for predicting IADL disability. After entering a participant’s age, education level, social activity frequency, drinking frequency, smoking frequency, comorbidity condition, self-report health condition, gait speed, cognitive function, and depressive symptoms on https://lilizhang.shinyapps.io/DynNomapp/, we can get the participant’s corresponding probability of developing IADL disability. a Input interface: You can enter the related variables of participants in this interface. b Graphical summary: It represents participants’ corresponding probability and 95% confidence intervals of developing IADL disability. c Numerical summary: It shows the actual values of probability and 95% confidence intervals