ArticleBMC musculoskeletal disorders2023
Contributions of age, gender, body mass index, and normalized arch height to hallux valgus: a decision tree approach.
Article in BMC musculoskeletal disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Factors Related to the Etiology of Hallux Abducto Valgus: A Systematic Review.Journal of functional morphology and kinesiology · 2026Review
- Simultaneous Correction of Juvenile Hallux Valgus and Flexible Flatfoot in Children: Outcomes of Combined First Metatarsal Hemiepiphysiodesis and Calcaneal-Stop Procedure.Journal of clinical medicine · 2025Article
- A Retrospective Study on Wilson Osteotomy with Intramedullary Locking Plate for Failed Hallux Valgus Correction: Insights from a Single-Surgeon Experience.Life (Basel, Switzerland) · 2025Article
- Scarf osteotomy combined with akin osteotomy for the treatment of patients with moderate hallux valgus: a retrospective study combining plantar pressure testing and gait analysis.BMC musculoskeletal disorders · 2025Article
- The causality between rheumatoid arthritis and postural deformities: bidirectional Mendelian randomization study and mediation analysis.Frontiers in immunology · 2024Article
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Authors and funding
3 authors.
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Abstract
backgroundHallux valgus (HV) is a common toe deformity with various contributory factors. The interactions between intrinsic risk factors of HV, such as arch height, sex, age, and body mass index (BMI) should be considered. The present study aimed to establish a predictive model for HV using intrinsic factors, such as sex, age, BMI, and arch height based on decision tree (DT) model.
methodsThis is retrospective study. The study data were based on the fifth Size Korea survey, of the Korea Technology Standard Institute. Among 5,185 patients, 645 were excluded due to unsuitable age or missing data, and 4,540 (males = 2,236 and females = 2,304) were selected for inclusion in the study. Seven variables (i.e., sex, age, BMI, and four normalized arch height variables) were used to develop the prediction model for the presence of HV using a DT model.
resultsThe DT model correctly classified 68.79% (95% confidence interval [CI] = 67.25-70.29%) of the training data set (3,633 cases). The predicted presence of HV based on the DT was verified against the testing data set (907 cases) and showed an accuracy of 69.57% (95% CI = 66.46-72.55%).
conclusionsThe DT model predicted the presence of HV on the basis of sex, age, and normalized arch height. According to our model, women aged over 50 years and those with lower normalized arch height were at high risk of HV.
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