EXPLORING VITAMIN D-RELATED KAP INFLUENCING FACTORS IN MIDDLE-AGED AND ELDERLY PATIENTS WITH ANKLE FRACTURES: A LOGISTIC REGRESSION AND DECISION TREE MODEL-BASED STUDY

This study aimed to analyze the factors influencing vitamin D (VD)-related knowledge, attitude, and practice (KAP) in middle-aged and elderly patients with ankle fractures using the binary logistic regression and decision tree models, thereby providing scientific evidence for VD-related recovery strategies. A Chinese version of the nutrition KAP questionnaire was administered in a Grade III A Hospital using random sampling for the investigation. Meanwhile, the factors influencing KAP were analyzed using the aforementioned two models. The results of the binary logistic regression model showed that the patient age [odds ratio [Formula: see text]; 95% confidence interval (CI): 0.117–0.295], spouse education ([Formula: see text]; 95% CI: 0.267–0.422), and spouse occupation ([Formula: see text]; 95% CI: 1.078–1.693) were the factors influencing VD-related KAP. The decision tree chi-squared automatic interaction detector (CHAID) algorithm showed that spouse education, patient age, and living room lighting were the influencing factors, among which spouse education was the most important. VD in middle-aged and elderly patients with ankle fractures was affected by the age and the education level of the spouse. These two models can analyze the influencing factors of knowledge and practice, and can be used together to complement each other.