Work

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

Year: 2024

Type: article

Abstract: 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.

Source: Journal of Mechanics in Medicine and Biology

DOI: 10.1142/s0219519424400657

Authors: YU LIANG, GUANGLEI ZHANG

Institution: Binzhou Medical University

Language: English

Topic: Vitamin D Research Studies

Subfield: Pathology and Forensic Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

Funder: Binzhou Medical University