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Original Articles: Survivorship

Predictors of preparedness for recovery following colorectal cancer surgery: a latent class trajectory analysis

, , , , , , , & show all
Pages 1625-1634 | Received 20 Jul 2023, Accepted 05 Oct 2023, Published online: 03 Nov 2023

Figures & data

Table 1. Distributions of patient characteristics for the full sample and the six latent classes.

Figure 1. Average and observed individual preparedness for surgery and recovery trajectories.

Figure 1. Average and observed individual preparedness for surgery and recovery trajectories.

Table 2. Fit statistics and class proportions for latent classes models.

Figure 2. Six classes representing different preparedness for surgery and recovery trajectory profiles.

Figure 2. Six classes representing different preparedness for surgery and recovery trajectory profiles.

Figure 3. Odds ratios for the variables that explain different preparedness for surgery and recovery trajectories profiles represented by the six latent classes.

Note. To facilitate comparison, all continuous variables were rescaled to range from 0 to 10.

Figure 3. Odds ratios for the variables that explain different preparedness for surgery and recovery trajectories profiles represented by the six latent classes.Note. To facilitate comparison, all continuous variables were rescaled to range from 0 to 10.
Supplemental material

Supplemental Material

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Data availability statement

Data cannot be shared publicly because the questionnaires include sensitive data about health status. The ethical approval by the Regional Ethical Review Board in Gothenburg, Sweden includes a statement that the data will be kept in a private repository. Requests for the data used in our analyses can be made to Swedish National Data Service [email protected].